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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. 8-RES-JB
    11. 10847
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    Explanations

    dates or deadlines mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating scheduled events or deadlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anon
    -0.77
    agate
    -0.72
    sol
    -0.72
    sav
    -0.67
    ains
    -0.65
    tops
    -0.64
    rosso
    -0.63
    ifter
    -0.62
    Ultra
    -0.62
     Hera
    -0.62
    POSITIVE LOGITS
     diligence
    1.05
    lling
    0.97
    lled
    0.80
    encing
    0.73
    ptin
    0.73
    giving
    0.71
    endment
    0.68
    enced
    0.68
    itors
    0.66
    pling
    0.65
    Activations Density 0.022%

    No Known Activations