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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. 2254
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    Explanations

    phrases indicating the central message or key point being made in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to key arguments or main points being made

    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
     Carbuncle
    -0.87
    WIND
    -0.69
    zeb
    -0.68
    aband
    -0.68
    cess
    -0.65
    ounge
    -0.64
    orea
    -0.63
     corners
    -0.63
    igion
    -0.63
    potion
    -0.62
    POSITIVE LOGITS
    lessness
    0.86
    iasis
    0.84
     about
    0.83
     emphasized
    0.77
     moot
    0.74
     conveyed
    0.73
    about
    0.72
     raised
    0.71
     worth
    0.69
     Reyes
    0.68
    Activations Density 0.060%

    No Known Activations