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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. 3-RES-JB
    11. 4031
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    Explanations

    references to negative outcomes or impending disaster

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with negativity and disaster

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.78
    aneous
    -0.75
    SEA
    -0.70
    arov
    -0.69
    agall
    -0.68
    ASE
    -0.67
    Ģ
    -0.66
     Cosponsors
    -0.65
    Interstitial
    -0.63
    KER
    -0.63
    POSITIVE LOGITS
     doom
    1.36
     tremend
    0.88
    bringer
    0.88
     contag
    0.79
     plague
    0.77
    stress
    0.75
    fall
    0.74
     Despair
    0.72
    lessly
    0.72
     psychiat
    0.72
    Activations Density 0.012%

    No Known Activations