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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10624
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    Explanations

    detailed descriptions of actions or processes with a focus on comparisons or specific elements

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and words indicating relationships or comparisons

    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
    ities
    -0.81
    riages
    -0.72
     channels
    -0.68
     piles
    -0.63
    inas
    -0.63
    liners
    -0.63
    venants
    -0.61
    chell
    -0.61
    ¯¯¯¯¯¯¯¯
    -0.60
    ples
    -0.60
    POSITIVE LOGITS
     theirs
    0.80
     titled
    0.74
    åĮ
    0.70
    èĪ
    0.68
     behalf
    0.66
    ordinate
    0.64
     Scarlet
    0.64
    isse
    0.62
     Called
    0.61
     Named
    0.60
    Activations Density 0.643%

    No Known Activations