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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. 7-RES-JB
    11. 16706
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    Explanations

    terms related to the creation, management, and implementation of policies, systems, tools, and developments in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to policies, tools, and various types of developments and systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Legend
    -0.65
    kernel
    -0.63
    antha
    -0.63
    termin
    -0.62
     Carnage
    -0.61
    adelphia
    -0.61
    Loop
    -0.60
    76561
    -0.60
    Spoiler
    -0.60
     Option
    -0.59
    POSITIVE LOGITS
     alike
    1.65
     respectively
    1.21
     thereof
    1.08
    hips
    1.04
    paces
    0.99
    hops
    0.93
    hare
    0.86
     thereto
    0.86
    uits
    0.85
     therein
    0.83
    Activations Density 0.297%

    No Known Activations