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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. 11587
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    INDEX
    Explanations

    comparisons in terms of quantity

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases that emphasize the uniqueness or superiority of something

    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
    FTWARE
    -0.75
    ories
    -0.63
    istries
    -0.62
    unity
    -0.62
    insk
    -0.61
     Christy
    -0.60
    mitt
    -0.60
    ocket
    -0.58
    mination
    -0.57
    phis
    -0.57
    POSITIVE LOGITS
     imaginable
    1.20
     conceivable
    1.05
    THING
    0.94
     else
    0.91
     possible
    0.76
     other
    0.75
     hitherto
    0.75
     others
    0.69
     ever
    0.68
     usual
    0.64
    Activations Density 0.045%

    No Known Activations