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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. 22992
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    Explanations

    names of sports figures and athletes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual, Wenger

    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
     Defenders
    -0.78
    oration
    -0.68
    âĶĢâĶĢâĶĢâĶĢ
    -0.66
    uate
    -0.64
    icted
    -0.63
    omaly
    -0.63
    PsyNetMessage
    -0.61
     Kear
    -0.61
     NCT
    -0.60
     Lyft
    -0.60
    POSITIVE LOGITS
     Wenger
    1.02
    sonian
    0.90
    pin
    0.87
    nesday
    0.73
    isine
    0.71
    minster
    0.70
    enger
    0.67
    ·
    0.67
    ner
    0.67
    theless
    0.67
    Activations Density 0.009%

    No Known Activations