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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. 4-RES-JB
    11. 4204
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    INDEX
    Explanations

    requests or prompts indicating a need for action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Please"

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

    No Comments

    Negative Logits
    senal
    -0.76
    cler
    -0.70
     Huntington
    -0.67
    law
    -0.67
    hig
    -0.66
    arc
    -0.66
    visor
    -0.65
    ignty
    -0.65
    arist
    -0.64
    borgh
    -0.64
    POSITIVE LOGITS
     sir
    0.83
     note
    0.83
     advise
    0.82
     beware
    0.78
     underestimate
    0.76
     fill
    0.76
     Please
    0.74
     Subscribe
    0.74
     forgive
    0.73
     pardon
    0.73
    Activations Density 0.018%

    No Known Activations