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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. 8-RES-JB
    11. 18656
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    Explanations

    words related to statistical terms, particularly 'standard'

    oai_token-act-pair · gpt-3.5-turbo

    references to various standards and their applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lez
    -0.79
    cig
    -0.74
    acan
    -0.73
    shit
    -0.71
    Rus
    -0.67
     destro
    -0.67
     fumes
    -0.66
    asus
    -0.65
    scient
    -0.65
    amia
    -0.65
    POSITIVE LOGITS
     deviation
    1.58
     deviations
    1.40
     bearer
    1.31
    ised
    1.18
    ization
    1.17
    isation
    1.03
    izes
    0.92
    ized
    0.90
    izations
    0.89
    izing
    0.89
    Activations Density 0.031%

    No Known Activations