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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. 8-RES-JB
    11. 380
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    Explanations

    specific details and characteristics of objects or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to objects, organizations, and their associated regulations or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cale
    -0.70
    hots
    -0.68
    rontal
    -0.68
    lance
    -0.67
    lap
    -0.64
    raltar
    -0.64
    luaj
    -0.63
    ovember
    -0.63
    ranging
    -0.62
    dated
    -0.61
    POSITIVE LOGITS
     itself
    1.31
     owner
    0.98
     recipient
    0.95
    osphere
    0.88
     sender
    0.86
     beforehand
    0.83
     issuer
    0.83
     nearest
    0.81
     creator
    0.78
    's
    0.78
    Activations Density 0.467%

    No Known Activations