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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. 6-RES-JB
    11. 7338
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    Explanations

    adjectives emphasizing the size or significance of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions emphasizing the significance or importance of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apons
    -0.89
    ptives
    -0.83
    manship
    -0.83
    anwhile
    -0.77
    atography
    -0.77
    agents
    -0.77
    idents
    -0.76
    utics
    -0.73
    endants
    -0.73
    seekers
    -0.72
    POSITIVE LOGITS
     chunk
    1.14
    gie
    1.03
     ol
    0.97
     deal
    0.94
     swath
    0.92
     misunderstanding
    0.88
     thing
    0.86
    oted
    0.85
     headache
    0.85
     difference
    0.83
    Activations Density 0.077%

    No Known Activations