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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. 3-RES-JB
    11. 17026
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    INDEX
    Explanations

    numerical values associated with percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data or approximations related to quantities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     tatt
    -0.68
    qua
    -0.67
    HO
    -0.67
    BT
    -0.67
    WI
    -0.64
    Wr
    -0.63
    inen
    -0.63
    BILL
    -0.61
    idy
    -0.61
    xual
    -0.61
    POSITIVE LOGITS
    abouts
    0.92
     corners
    0.81
     ..........
    0.71
    ouver
    0.71
    atform
    0.71
    ciating
    0.68
    anism
    0.67
    clock
    0.66
    dule
    0.65
    =~=~
    0.65
    Activations Density 0.049%

    No Known Activations