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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. 9-RES-JB
    11. 2356
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.73
    ulhu
    -0.71
    etter
    -0.68
    minster
    -0.67
    chwitz
    -0.65
    CHO
    -0.64
    Bloom
    -0.64
    DragonMagazine
    -0.62
    HCR
    -0.62
    iosyn
    -0.62
    POSITIVE LOGITS
    ably
    1.09
    able
    1.06
    ibly
    0.98
    ables
    0.95
    ABLE
    0.94
    ence
    0.93
    ability
    0.93
    ishable
    0.93
    cation
    0.93
    iencies
    0.92
    Activations Density 0.110%

    No Known Activations