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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. 11135
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific references to dates and months

    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
     continu
    -0.71
     subscript
    -0.64
     newcom
    -0.61
    oÄŁ
    -0.60
     expans
    -0.60
     phr
    -0.59
     locations
    -0.57
     subtitles
    -0.55
    Els
    -0.55
     ingred
    -0.54
    POSITIVE LOGITS
    mort
    0.68
    isle
    0.67
    ilar
    0.64
    ascal
    0.63
    inois
    0.63
    illi
    0.63
    ruary
    0.63
    iven
    0.62
    fork
    0.62
    ients
    0.61
    Activations Density 0.117%

    No Known Activations