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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. 51
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    Explanations

    mentions of people or players associated with sports leagues

    oai_token-act-pair · gpt-3.5-turbo

    references to sports and athletic roles

    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
    1027
    -0.92
    RP
    -0.79
     resin
    -0.79
    RO
    -0.78
    RAM
    -0.76
     Resolution
    -0.74
     reluct
    -0.73
     trim
    -0.73
    oreAnd
    -0.72
     Frag
    -0.71
    POSITIVE LOGITS
    ich
    0.99
    Nich
    0.88
     Ichigo
    0.87
    ichita
    0.85
    ovich
    0.83
    icz
    0.82
    ika
    0.77
    vich
    0.77
     Ich
    0.75
     avocado
    0.75
    Activations Density 0.217%

    No Known Activations