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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. 9-RES-JB
    11. 23443
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    Explanations

    references to the collapse of structures or systems

    oai_token-act-pair · gpt-3.5-turbo

    references to collapses of structures or societal systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    qua
    -0.84
    lean
    -0.83
    cil
    -0.80
    etch
    -0.76
    vag
    -0.73
    ju
    -0.72
    stra
    -0.69
    yah
    -0.69
    zee
    -0.68
    ĭ
    -0.66
    POSITIVE LOGITS
    ulence
    0.84
    hower
    0.75
     miser
    0.74
    ateral
    0.73
     jaws
    0.73
    itual
    0.71
    aughter
    0.70
    ulent
    0.70
    abies
    0.69
     dism
    0.68
    Activations Density 0.062%

    No Known Activations