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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. 10-RES-JB
    11. 22138
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    Explanations

    text related to sports and physical competition

    oai_token-act-pair · gpt-3.5-turbo

    references to events or actions related to risk or safety

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.73
     GOODMAN
    -0.69
    deen
    -0.62
     brut
    -0.60
    ģĸ
    -0.60
    Interstitial
    -0.60
    ndum
    -0.59
     Honour
    -0.59
     footing
    -0.57
    tein
    -0.56
    POSITIVE LOGITS
    inx
    0.64
    )=(
    0.62
    Panel
    0.58
    irl
    0.58
     guiActiveUnfocused
    0.55
     isEnabled
    0.54
    irling
    0.53
     Ily
    0.52
     called
    0.52
    isk
    0.51
    Activations Density 0.092%

    No Known Activations