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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. 1-RES-JB
    11. 5247
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    Explanations

    actions of acceptance or approval

    oai_token-act-pair · gpt-3.5-turbo

    the word "accepted" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovie
    -0.72
    igil
    -0.70
    ulz
    -0.67
    ooming
    -0.67
    amen
    -0.66
    folder
    -0.66
     Tir
    -0.63
    IGHTS
    -0.62
    APH
    -0.62
    venth
    -0.61
    POSITIVE LOGITS
     accepted
    1.08
     accept
    1.02
     accepting
    1.02
     accepts
    1.01
     ($)
    0.96
    accept
    0.95
     Accept
    0.91
     acceptance
    0.91
    Accept
    0.85
    missible
    0.80
    Activations Density 0.007%

    No Known Activations