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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. 1-RES-JB
    11. 21860
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    Explanations

    adjectives or verbs describing negative impacts or harm

    oai_token-act-pair · gpt-3.5-turbo

    references to harmful effects or consequences

    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
    ETF
    -0.69
    chan
    -0.67
     Monitor
    -0.66
    yon
    -0.66
    ilk
    -0.66
    sure
    -0.65
    gio
    -0.65
    ordan
    -0.64
    ann
    -0.64
    order
    -0.63
    POSITIVE LOGITS
     undermin
    1.08
     damaging
    0.93
     havoc
    0.88
     destro
    0.88
     damage
    0.87
     psychiat
    0.86
     earthqu
    0.82
     adolesc
    0.82
    ãĥ¼ãĥĨ
    0.80
     dmg
    0.80
    Activations Density 0.009%

    No Known Activations