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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. 2-RES-JB
    11. 19650
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    Explanations

    references to important written messages or notes

    oai_token-act-pair · gpt-3.5-turbo

    references to internal communications or documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hani
    -0.71
    respect
    -0.71
    reek
    -0.70
    orks
    -0.69
    Interstitial
    -0.67
    fast
    -0.67
    tool
    -0.63
    rates
    -0.62
    ulia
    -0.62
    certain
    -0.61
    POSITIVE LOGITS
     memo
    1.21
    andum
    0.93
    ufact
    0.91
     memos
    0.91
    ariat
    0.90
    osal
    0.87
    izational
    0.86
    ovie
    0.82
    emort
    0.81
    izes
    0.80
    Activations Density 0.007%

    No Known Activations