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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. 7549
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    Explanations

    scientific terms related to prehistoric mammals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific mammals and their characteristics

    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
    Hug
    -0.79
    æĸ¹
    -0.77
    PsyNetMessage
    -0.76
    OME
    -0.75
    ãĥ¯ãĥ³
    -0.75
     defe
    -0.72
    CHO
    -0.72
    beat
    -0.71
    lies
    -0.70
    æĺ¯
    -0.70
    POSITIVE LOGITS
    atory
    0.95
    aging
    0.88
    iasis
    0.86
    ographed
    0.80
    *=-
    0.77
    astern
    0.74
    ering
    0.70
    uscript
    0.70
    istic
    0.70
    espie
    0.68
    Activations Density 0.073%

    No Known Activations