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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 18192
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    Explanations

    words related to negative emotions or situations

    oai_token-act-pair · gpt-3.5-turbo

    words that express negative emotions and states of being

    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
    foreseen
    -0.85
    orthy
    -0.83
    reek
    -0.79
    RAFT
    -0.77
     interacted
    -0.76
    iers
    -0.75
    icipated
    -0.73
    rays
    -0.73
    omm
    -0.73
    arger
    -0.72
    POSITIVE LOGITS
     miserable
    0.85
     excuses
    0.82
    abby
    0.79
     dismal
    0.77
     excuse
    0.74
     pathetic
    0.74
    phia
    0.69
     rubbish
    0.69
     wretched
    0.65
     Shal
    0.63
    Activations Density 0.021%

    No Known Activations