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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. 7-RES-JB
    11. 13709
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    Explanations

    questions starting with "how do," "do we," "how could I," and similar patterns

    oai_token-act-pair · gpt-3.5-turbo

    questions or queries regarding knowledge and understanding in various contexts

    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
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    No Comments

    Negative Logits
    gru
    -0.75
    tex
    -0.69
    foundland
    -0.69
    Ń·
    -0.69
    np
    -0.68
    arov
    -0.66
    iken
    -0.64
    imity
    -0.63
    ippi
    -0.62
    tn
    -0.62
    POSITIVE LOGITS
    Ô
    0.85
     reconcil
    0.77
     reconcile
    0.77
    ?),
    0.73
     handle
    0.73
    ?:
    0.71
     cope
    0.71
    ...?
    0.70
     navigate
    0.69
     manage
    0.68
    Activations Density 0.133%

    No Known Activations