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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. 16195
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    Explanations

    years or date ranges specifically from the year 2000

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2000

    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
    atories
    -0.76
    warts
    -0.75
    alth
    -0.69
    Else
    -0.67
    atory
    -0.65
     unh
    -0.64
    unal
    -0.64
    attled
    -0.63
    iqu
    -0.63
    atre
    -0.63
    POSITIVE LOGITS
    mAh
    0.82
    istar
    0.81
     Leban
    0.79
    visors
    0.77
     rpm
    0.74
    Hz
    0.70
    rpm
    0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.67
    ixties
    0.66
     Reincarn
    0.66
    Activations Density 0.011%

    No Known Activations