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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. 1-RES-JB
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    Explanations

    mentions of sports teams, specifically the New York Mets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the New York Mets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.83
    ommel
    -0.75
    gging
    -0.74
    aphael
    -0.70
    à
    -0.64
    neau
    -0.64
    full
    -0.63
    lying
    -0.63
    SPONSORED
    -0.63
     pronoun
    -0.62
    POSITIVE LOGITS
     Mets
    0.93
     Slug
    0.81
     infield
    0.77
    mens
    0.76
     Jagu
    0.75
     Mania
    0.72
    peed
    0.72
     Cosmos
    0.70
    terson
    0.69
     Devils
    0.69
    Activations Density 0.003%

    No Known Activations