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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. 9-RES-JB
    11. 18092
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    Explanations

    phrases related to criticisms or judgments

    oai_token-act-pair · gpt-3.5-turbo

    words related to recognition or acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Moz
    -0.83
     Cohn
    -0.76
    FN
    -0.74
     Bulg
    -0.68
     VER
    -0.66
     Frey
    -0.65
     Byrne
    -0.64
     Chou
    -0.64
     Sco
    -0.63
     Lem
    -0.63
    POSITIVE LOGITS
    ificial
    0.88
    ivable
    0.82
    ified
    0.81
    itory
    0.81
    ative
    0.80
    acious
    0.79
    ifying
    0.78
    urious
    0.78
    atic
    0.77
    ify
    0.77
    Activations Density 0.214%

    No Known Activations