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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. 10-RES-JB
    11. 6168
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    Explanations

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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     impe
    -0.73
     upset
    -0.72
     icy
    -0.70
     overd
    -0.70
     superf
    -0.69
     baffled
    -0.69
     space
    -0.69
     erratic
    -0.69
     tampering
    -0.68
     mater
    -0.68
    POSITIVE LOGITS
    MAC
    1.29
    formerly
    1.26
    CN
    1.24
    PDF
    1.21
    PAC
    1.20
    UGC
    1.20
    PB
    1.19
    KA
    1.18
    CB
    1.18
    CM
    1.17
    Activations Density 0.068%

    No Known Activations