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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. 3-RES-JB
    11. 21070
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    INDEX
    Explanations

    names of persons

    oai_token-act-pair · gpt-3.5-turbo

    names associated with individuals and roles in a political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.94
    xual
    -0.85
    mberg
    -0.83
    ppelin
    -0.82
    ihara
    -0.80
    izers
    -0.80
    mg
    -0.79
    witz
    -0.79
    ning
    -0.77
    dule
    -0.77
    POSITIVE LOGITS
     pneum
    0.89
     unfocusedRange
    0.84
    illon
    0.83
    reet
    0.79
    ricting
    0.74
     Dominic
    0.71
    riction
    0.68
    avorite
    0.66
     chloride
    0.66
    heon
    0.65
    Activations Density 0.027%

    No Known Activations