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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. 17192
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    INDEX
    Explanations

    dates, quantities, and estimations

    oai_token-act-pair · gpt-3.5-turbo

    words related to reporting, estimating, and revealing information or claims

    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
    ROM
    -0.78
    picture
    -0.74
    avorite
    -0.74
    isode
    -0.73
    uga
    -0.72
    apes
    -0.67
    otype
    -0.66
    pak
    -0.65
    orio
    -0.65
    Exit
    -0.65
    POSITIVE LOGITS
     arg
    0.69
     Eth
    0.66
     unanimously
    0.65
     electr
    0.64
     Engels
    0.63
     ¶
    0.63
     contention
    0.62
     ICO
    0.61
     contended
    0.60
     orally
    0.59
    Activations Density 0.096%

    No Known Activations