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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 4342
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    Explanations

    terms related to policies, styles, skills, phrases, opinions, principles, abilities, molecules, questions, forwards, badges, credentials, techniques, views, designs, regulations, services, videos, processes, sensors, and modules

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with rules, methods, and concepts in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Operation
    -0.65
    noon
    -0.64
     Surviv
    -0.62
    Legend
    -0.61
    ãĥį
    -0.60
    Installation
    -0.60
    York
    -0.60
    REM
    -0.59
    Reloaded
    -0.59
    patient
    -0.59
    POSITIVE LOGITS
     alike
    1.53
     thereof
    1.17
     respectively
    1.09
    hips
    1.02
    hops
    0.93
    paces
    0.93
    uits
    0.92
     thereto
    0.90
     therein
    0.87
    mith
    0.87
    Activations Density 0.259%

    No Known Activations