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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. 4843
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    INDEX
    Explanations

    phrases or words related to drawing attention

    oai_token-act-pair · gpt-3.5-turbo

    references to attention 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
    versions
    -0.75
    tein
    -0.72
     halves
    -0.66
    iHUD
    -0.64
    imar
    -0.62
     Mehran
    -0.62
     Zombies
    -0.61
    UES
    -0.60
    estern
    -0.60
     Casino
    -0.58
    POSITIVE LOGITS
     attention
    1.29
     Attention
    1.03
     scrutiny
    0.89
    ively
    0.88
     attentive
    0.83
    estinal
    0.82
     attent
    0.81
    rontal
    0.76
     scrut
    0.69
    taker
    0.69
    Activations Density 0.019%

    No Known Activations