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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. 1-RES-JB
    11. 20280
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    Explanations

    numbers related to quantitative data

    oai_token-act-pair · gpt-3.5-turbo

    numeric values representing significant quantities or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awed
    -0.89
    anooga
    -0.87
    awaru
    -0.83
    rotein
    -0.80
    rophe
    -0.79
    ramid
    -0.79
    ledged
    -0.79
    amaru
    -0.78
    ysical
    -0.77
    raltar
    -0.74
    POSITIVE LOGITS
    nd
    1.38
    181
    0.84
     thirds
    0.84
    160
    0.83
    502
    0.83
    80
    0.82
    152
    0.82
    186
    0.80
    162
    0.79
    132
    0.78
    Activations Density 0.050%

    No Known Activations