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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. 8296
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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
    ibia
    -0.69
    eka
    -0.66
    ooming
    -0.65
    ument
    -0.65
    vd
    -0.65
    arre
    -0.62
    ern
    -0.62
    owell
    -0.62
    itans
    -0.62
    veland
    -0.62
    POSITIVE LOGITS
     supervision
    1.07
     advis
    1.07
     ausp
    1.00
     aliases
    0.99
     oath
    0.96
    lined
    0.95
    secret
    0.95
    lining
    0.92
    cutting
    0.88
    written
    0.87
    Activations Density 0.061%

    No Known Activations