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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. 0-RES-JB
    11. 8017
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    INDEX
    Explanations

    terms related to a positive quality or capability

    oai_token-act-pair · gpt-3.5-turbo

    references to capability and competency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fed
    -0.69
     burg
    -0.61
     sep
    -0.61
     Strip
    -0.59
     seed
    -0.58
     supplied
    -0.57
     Fellow
    -0.55
     Nare
    -0.55
     Rim
    -0.55
     Roc
    -0.54
    POSITIVE LOGITS
    ability
    4.74
    abilities
    3.05
    able
    2.46
    ably
    2.20
    ables
    2.11
    abl
    2.03
    ibility
    1.98
    ABLE
    1.81
    abil
    1.75
    BILITY
    1.74
    Activations Density 0.016%

    No Known Activations