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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. 15509
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    Explanations

    items or concepts associated with different categories or topics

    oai_token-act-pair · gpt-3.5-turbo

    the repetitive phrase "Each" indicating a structured or enumerated format in the text

    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
    dn
    -0.75
    ahime
    -0.73
    stones
    -0.73
    tops
    -0.70
    rovers
    -0.70
    haven
    -0.70
    Chain
    -0.68
    env
    -0.65
    abs
    -0.65
    bows
    -0.64
    POSITIVE LOGITS
     successive
    1.18
     individual
    0.84
    where
    0.84
     iteration
    0.81
     participant
    0.78
     individually
    0.76
    THING
    0.74
     succeeding
    0.74
    omore
    0.72
     subsequent
    0.72
    Activations Density 0.039%

    No Known Activations