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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. 11-RES-JB
    11. 3823
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    Explanations

    numbers representing sequels or iterations of entertainment franchises

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers and titles of games or movies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liga
    -0.69
    bery
    -0.59
    lying
    -0.57
     tens
    -0.57
    ificate
    -0.57
    icularly
    -0.56
    olate
    -0.55
     Stevens
    -0.55
    olas
    -0.54
    oles
    -0.53
    POSITIVE LOGITS
    âĢ²
    1.05
    âĢ³
    1.01
    nd
    0.92
    rd
    0.89
    D
    0.80
     Revis
    0.77
    RD
    0.77
    +,
    0.76
    th
    0.75
    DX
    0.73
    Activations Density 0.127%

    No Known Activations