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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. 4-RES-JB
    11. 20296
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    Explanations

    phrases expressing criticism or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with negative conditions or situations

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

    No Comments

    Negative Logits
    cule
    -0.74
    ahime
    -0.72
    thood
    -0.67
    NetMessage
    -0.64
    frog
    -0.63
    hibition
    -0.62
    manship
    -0.59
     Mint
    -0.59
     Swords
    -0.59
    wi
    -0.59
    POSITIVE LOGITS
    orable
    1.04
     depl
    0.89
    abby
    0.89
    aste
    0.86
    ue
    0.79
    ivable
    0.78
    iss
    0.78
    ancies
    0.78
    anted
    0.76
    isions
    0.76
    Activations Density 0.010%

    No Known Activations