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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. 11-RES-JB
    11. 2059
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Read" followed by corresponding numerical values indicating links to more content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otor
    -0.71
    cffffcc
    -0.67
    76561
    -0.63
     gamb
    -0.61
    unta
    -0.61
    ONEY
    -0.60
    IDS
    -0.60
     siph
    -0.60
    AFTA
    -0.59
     showers
    -0.57
    POSITIVE LOGITS
    ership
    1.08
    ers
    1.04
     More
    1.00
    Write
    0.88
     Next
    0.87
     Also
    0.85
    ings
    0.83
    iness
    0.81
    çīĪ
    0.78
    andowski
    0.78
    Activations Density 0.030%

    No Known Activations