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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. 11-RES-JB
    11. 1164
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    Explanations

    special characters representing a separation or a section break

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant numbers or statistics within a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.82
     oun
    -0.79
     undermin
    -0.70
     citiz
    -0.69
     corrid
    -0.68
     hemor
    -0.64
     metic
    -0.64
     tremend
    -0.62
     unnecess
    -0.61
    aditional
    -0.60
    POSITIVE LOGITS
    ↵
    0.88
    "
    0.76
    ³³³³³³³³³³³³³³³³
    0.73
    -"
    0.72
     "(
    0.70
    /
    0.68
    "'
    0.67
    psc
    0.67
    sonian
    0.66
    \":
    0.65
    Activations Density 0.065%

    No Known Activations