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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. 19334
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    Explanations

    phrases related to reading more information on various topics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "Read" followed by a number

    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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    Negative Logits
    -"
    -0.73
    clamation
    -0.68
    vernment
    -0.68
    naires
    -0.67
     subcontract
    -0.66
    ult
    -0.64
    otin
    -0.63
     Nept
    -0.63
    ULT
    -0.63
     Clown
    -0.62
    POSITIVE LOGITS
    htaking
    0.79
     ï
    0.75
    cloneembedreportprint
    0.68
    iminary
    0.66
    vernight
    0.65
     millenn
    0.63
    agher
    0.63
    ontent
    0.63
     Features
    0.62
    np
    0.62
    Activations Density 0.062%

    No Known Activations