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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. 8-RES-JB
    11. 9996
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anon
    -0.69
    venants
    -0.66
     Cheong
    -0.63
    pas
    -0.62
     Moff
    -0.60
    llah
    -0.58
    mosp
    -0.57
    bek
    -0.57
    leon
    -0.56
    heid
    -0.55
    POSITIVE LOGITS
     purposes
    1.75
     sake
    1.72
    ummies
    1.03
     reasons
    0.99
     purpose
    0.87
    okers
    0.77
     upcoming
    0.73
     lovers
    0.70
     reason
    0.69
    umption
    0.69
    Activations Density 0.974%

    No Known Activations