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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. 4-RES-JB
    11. 2482
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    Explanations

    words related to complacency or lack of action/stagnation

    oai_token-act-pair · gpt-3.5-turbo

    words related to complaints or issues

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

    No Comments

    Negative Logits
    hyde
    -0.90
    eele
    -0.75
    bucks
    -0.75
    ¥µ
    -0.71
    terday
    -0.68
    EStream
    -0.67
    scope
    -0.65
    HAEL
    -0.64
    hire
    -0.63
    cules
    -0.63
    POSITIVE LOGITS
    acent
    1.17
    icating
    1.05
    icates
    0.96
    ainer
    0.94
    antly
    0.93
    ause
    0.81
    uously
    0.81
    aunted
    0.80
    iances
    0.80
    isance
    0.80
    Activations Density 0.008%

    No Known Activations