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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. 4-RES-JB
    11. 16609
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    INDEX
    Explanations

    instances of descriptions related to large quantities or intense occurrences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "flood of" in various contexts

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

    No Comments

    Negative Logits
    acus
    -0.83
    ials
    -0.79
    hao
    -0.70
    liest
    -0.69
    ially
    -0.68
    alty
    -0.67
    ername
    -0.67
     Quote
    -0.65
    uctions
    -0.64
     bidder
    -0.64
    POSITIVE LOGITS
     sorts
    1.01
     disparate
    0.75
     Grimm
    0.64
     emotions
    0.63
     sunshine
    0.62
     fresh
    0.61
     pixels
    0.60
     flux
    0.60
     OC
    0.60
     attrition
    0.60
    Activations Density 0.265%

    No Known Activations