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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. 19877
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    Explanations

    references to sharp tools like "axe" or related concepts like "wounds."

    oai_token-act-pair · gpt-3.5-turbo

    references to axes or related terms in various contexts

    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
    acco
    -0.82
    pread
    -0.81
    ards
    -0.80
    ippi
    -0.75
    anmar
    -0.73
    elect
    -0.71
    ivity
    -0.71
    arded
    -0.71
    oon
    -0.71
    ified
    -0.70
    POSITIVE LOGITS
     axe
    0.93
    ħĭ
    0.89
    EStream
    0.80
    ãĥ¼ãĥ³
    0.80
    Ĥª
    0.77
     Axe
    0.76
    lift
    0.72
    »Ĵ
    0.71
     axes
    0.68
     handle
    0.67
    Activations Density 0.015%

    No Known Activations