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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. 7-RES-JB
    11. 23046
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    Explanations

    phrases indicating emphasis or comparison

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing absoluteness or specificity in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     towed
    -0.68
     Registry
    -0.64
    veyard
    -0.63
     crowned
    -0.62
     Ashe
    -0.62
     blaze
    -0.62
     Shell
    -0.62
     sidelined
    -0.62
     Register
    -0.61
     cylinder
    -0.61
    POSITIVE LOGITS
    optim
    0.85
    negative
    0.82
    positive
    0.77
    some
    0.77
    FU
    0.76
    angers
    0.73
    anger
    0.73
    blank
    0.73
    significant
    0.72
    oths
    0.70
    Activations Density 0.314%

    No Known Activations