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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. 2-RES-JB
    11. 1416
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    Explanations

    words related to negative impacts or consequences

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iatrics
    -0.77
    arte
    -0.76
    omet
    -0.73
    ordan
    -0.72
    gio
    -0.71
    batch
    -0.71
    ETF
    -0.70
    chan
    -0.70
    ea
    -0.68
    ilk
    -0.68
    POSITIVE LOGITS
     undermin
    0.97
     havoc
    0.91
     shocks
    0.83
     damage
    0.82
     damaging
    0.79
     liqu
    0.77
     warheads
    0.77
     adolesc
    0.76
     blows
    0.76
     spells
    0.76
    Activations Density 0.014%

    No Known Activations