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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. 3-RES-JB
    11. 3584
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    Explanations

    words related to sports positions, specifically those related to the starting lineup

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "starter" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romeda
    -0.90
    erry
    -0.87
    oral
    -0.79
    fax
    -0.74
     Neurolog
    -0.73
    orb
    -0.70
    uras
    -0.69
    ourgeois
    -0.68
    ourge
    -0.67
    illion
    -0.67
    POSITIVE LOGITS
     starter
    1.12
    starter
    0.97
     pitcher
    0.85
     starters
    0.84
    starting
    0.84
     pitchers
    0.77
    ctive
    0.75
     Starter
    0.74
    FIELD
    0.72
    tenance
    0.71
    Activations Density 0.011%

    No Known Activations