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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. 9-RES-JB
    11. 5046
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    Explanations

    words related to personal feelings and preferences

    oai_token-act-pair · gpt-3.5-turbo

    verbs expressing strong emotions or states of being, particularly related to love and hate

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pdf
    -0.85
    reditary
    -0.79
    forcement
    -0.75
    æ©Ł
    -0.74
    hematic
    -0.71
     Detected
    -0.71
    odox
    -0.71
    valid
    -0.68
    partial
    -0.67
    osure
    -0.67
    POSITIVE LOGITS
     herself
    1.11
     himself
    1.02
     solitude
    0.88
     strangers
    0.86
     Himself
    0.82
     monog
    0.80
     him
    0.80
     mates
    0.80
     fame
    0.79
     outsiders
    0.78
    Activations Density 0.505%

    No Known Activations