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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. 10-RES-JB
    11. 7767
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    INDEX
    Explanations

    proper nouns associated with people or places

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups in the context of actions or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spot
    -0.61
    Production
    -0.60
    Chain
    -0.58
     Unicode
    -0.57
     ETF
    -0.56
    videos
    -0.56
    osterone
    -0.55
    arate
    -0.54
    INAL
    -0.54
    dated
    -0.53
    POSITIVE LOGITS
     did
    1.28
    did
    1.02
     does
    1.01
     do
    0.83
     predecessors
    0.82
     wont
    0.80
     counterparts
    0.76
     DID
    0.76
     Did
    0.75
     hoped
    0.75
    Activations Density 0.214%

    No Known Activations