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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. 2554
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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 @ 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
     protective
    -0.68
    ously
    -0.66
    iliary
    -0.64
     cavity
    -0.64
    ograph
    -0.63
    othes
    -0.61
     packing
    -0.61
     Piece
    -0.60
     grave
    -0.60
    ¬¼
    -0.60
    POSITIVE LOGITS
    lance
    0.94
    fuck
    0.90
    something
    0.88
    like
    0.86
    sat
    0.83
    assisted
    0.83
    micro
    0.83
    sil
    0.83
    meaning
    0.83
    ITS
    0.80
    Activations Density 0.018%

    No Known Activations