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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. 7878
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    Explanations

    dimensions expressed in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    the end of the document

    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
    alien
    -0.82
    orate
    -0.80
    nels
    -0.78
    iqu
    -0.77
    alez
    -0.76
    lict
    -0.75
    stood
    -0.74
    olas
    -0.73
    gettable
    -0.72
    rics
    -0.72
    POSITIVE LOGITS
     MHz
    0.97
    989
    0.83
    MHz
    0.81
    bps
    0.80
     ILCS
    0.79
    mAh
    0.78
     Meadow
    0.72
    XY
    0.72
    æ©Ł
    0.72
     kcal
    0.71
    Activations Density 0.051%

    No Known Activations