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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
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    Explanations

    references to the concept of acceptance

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of acceptance

    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
    gm
    -0.72
    hed
    -0.71
    ibur
    -0.70
    ovie
    -0.67
    chn
    -0.67
    zz
    -0.62
    APH
    -0.61
    hunt
    -0.60
     Rove
    -0.60
     burg
    -0.60
    POSITIVE LOGITS
     acceptance
    1.43
     accepting
    0.92
    yip
    0.90
    ably
    0.85
    prise
    0.84
     accept
    0.84
    quickShipAvailable
    0.80
     rejection
    0.80
     acknowledgement
    0.80
     Accept
    0.80
    Activations Density 0.008%

    No Known Activations