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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. 3644
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    INDEX
    Explanations

    statements emphasizing clarity and certainty

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating clarity or decisiveness in statements

    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
     tremend
    -0.92
    eatures
    -0.81
     Loft
    -0.78
    inse
    -0.72
    unte
    -0.72
     therap
    -0.69
    uld
    -0.69
     nostalg
    -0.68
    olt
    -0.68
    LI
    -0.67
    POSITIVE LOGITS
    ances
    1.29
    ance
    0.99
    cut
    0.98
    cuts
    0.92
    iary
    0.81
     indication
    0.78
    acted
    0.77
     clear
    0.76
     acrylic
    0.76
    headed
    0.76
    Activations Density 0.030%

    No Known Activations