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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. 1104
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
     Cassandra
    -0.97
     Clarkson
    -0.83
    Cass
    -0.82
     Cass
    -0.77
     Coleman
    -0.76
     Chandler
    -0.75
     Matthews
    -0.75
     Hart
    -0.74
     Cole
    -0.73
     CODE
    -0.71
    POSITIVE LOGITS
    u
    1.52
    U
    1.48
    UF
    1.40
    UU
    1.36
    Å«
    1.34
    uj
    1.30
    UB
    1.28
    ub
    1.26
    UA
    1.26
    uid
    1.25
    Activations Density 0.397%

    No Known Activations