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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. 795
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    Explanations

    words related to kiosks or terminals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to kiosks and the act of handing out or providing items

    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
    abolic
    -0.77
    amins
    -0.75
    itals
    -0.74
    acus
    -0.71
    azines
    -0.70
    mpeg
    -0.70
     airs
    -0.70
    ohyd
    -0.67
     Flavoring
    -0.67
     Observatory
    -0.66
    POSITIVE LOGITS
     handing
    0.90
    eson
    0.88
     booths
    0.80
     booth
    0.77
    ortment
    0.76
    hiba
    0.68
    sett
    0.67
    shake
    0.66
     beet
    0.64
     kios
    0.64
    Activations Density 0.011%

    No Known Activations