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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. 20145
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    oai_token-act-pair · gpt-3.5-turbo

    timestamps or date indicators within the text

    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
    ategic
    -0.68
    holding
    -0.67
     Drawn
    -0.65
    matic
    -0.65
    ocene
    -0.64
    espie
    -0.62
    stood
    -0.62
    matically
    -0.62
    utherland
    -0.62
    vati
    -0.61
    POSITIVE LOGITS
    09
    0.79
    encing
    0.78
    eur
    0.77
    ering
    0.74
    01
    0.74
     01
    0.73
    eteen
    0.73
    03
    0.73
    \\\\\\\\\\\\\\\\
    0.72
    nect
    0.72
    Activations Density 0.007%

    No Known Activations