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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. 0-RES-JB
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    INDEX
    Explanations

    mentions of writing or reporting activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Writing" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bid
    -0.75
    imar
    -0.69
     dign
    -0.67
     controlled
    -0.65
     bout
    -0.64
     bet
    -0.62
     boom
    -0.61
     shuttle
    -0.60
     avail
    -0.60
     escal
    -0.60
    POSITIVE LOGITS
    Writing
    3.75
     Writing
    3.60
     writing
    2.24
    writing
    2.22
     Writers
    1.85
    Writ
    1.80
    Write
    1.72
     Write
    1.71
    Reading
    1.53
    writers
    1.47
    Activations Density 0.017%

    No Known Activations