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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. 9185
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    Explanations

    mentions of different genres

    oai_token-act-pair · gpt-3.5-turbo

    references to various genres of literature or media

    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
     Lumpur
    -0.87
    urion
    -0.87
    riel
    -0.82
    ermanent
    -0.72
    loo
    -0.72
    sie
    -0.70
    administ
    -0.68
    amen
    -0.65
    erald
    -0.65
    bats
    -0.64
    POSITIVE LOGITS
    genre
    0.80
     genres
    0.79
     fiction
    0.79
    ologies
    0.79
     tropes
    0.75
     genre
    0.74
    icity
    0.73
     conventions
    0.73
    allo
    0.72
    ¥µ
    0.70
    Activations Density 0.017%

    No Known Activations