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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. 7-RES-JB
    11. 11443
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    Explanations

    apologies or mentions of lack of apologies

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to apologies and accountability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shutterstock
    -0.75
     FISA
    -0.69
     Eighth
    -0.67
     Pension
    -0.64
     Owl
    -0.63
    ORGE
    -0.63
     Afric
    -0.63
     Lup
    -0.61
    omething
    -0.61
     Pixie
    -0.61
    POSITIVE LOGITS
    etics
    1.50
    etic
    1.43
    etically
    1.33
    etric
    1.01
    izers
    0.99
    ogenic
    0.99
    acy
    0.99
    ogens
    0.97
    isers
    0.95
    izer
    0.93
    Activations Density 0.059%

    No Known Activations