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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. 9728
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    Explanations

    references to specific TV networks or shows

    oai_token-act-pair · gpt-3.5-turbo

    references to specific television or media identifiers

    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
    querque
    -0.89
    ãĥ¼ãĥĨ
    -0.78
     Marketable
    -0.78
    ij士
    -0.70
    itimate
    -0.70
    INAL
    -0.69
    Īè
    -0.68
     crunch
    -0.67
    ħĭ
    -0.65
    actionDate
    -0.65
    POSITIVE LOGITS
    nesday
    1.06
    ÅĤ
    0.78
     Tanzania
    0.76
    atever
    0.75
    lde
    0.74
    lich
    0.73
    tel
    0.72
    wright
    0.71
    WT
    0.69
     Wel
    0.68
    Activations Density 0.264%

    No Known Activations