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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. 6121
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    Explanations

    words related to specific objects or items such as "Ring", "stamp", "bell", and "helmet"

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to objects and items

    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
    inez
    -0.68
    actionDate
    -0.67
    cca
    -0.64
    NetMessage
    -0.63
    arily
    -0.62
    ional
    -0.60
     advers
    -0.59
    iddy
    -0.57
    nesota
    -0.56
     Finance
    -0.56
    POSITIVE LOGITS
    washer
    0.93
     pictured
    0.88
    maker
    0.82
     holder
    0.75
     cutter
    0.73
    wright
    0.72
     maker
    0.71
     Replacement
    0.68
    worm
    0.67
     Holder
    0.66
    Activations Density 0.542%

    No Known Activations