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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. 6-RES-JB
    11. 441
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    INDEX
    Explanations

    cryptic code elements and percentage values

    oai_token-act-pair · gpt-3.5-turbo

    terms and classifications related to group rankings and social hierarchies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paren
    -0.75
    grain
    -0.71
     increments
    -0.67
     Tropical
    -0.64
    artifacts
    -0.63
     Continuous
    -0.60
    Column
    -0.60
    hift
    -0.58
    uilt
    -0.58
    ometers
    -0.58
    POSITIVE LOGITS
     who
    1.01
    who
    0.87
     whom
    0.86
     wants
    0.82
     prefers
    0.78
    ÃŃs
    0.78
     hates
    0.77
     willing
    0.77
     agrees
    0.77
     knew
    0.74
    Activations Density 0.805%

    No Known Activations