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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. 908
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    INDEX
    Explanations

    mentions of risks or warnings

    oai_token-act-pair · gpt-3.5-turbo

    references to risks associated with various topics

    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
    ergy
    -0.91
    Nap
    -0.75
    gdala
    -0.74
    amed
    -0.72
    cle
    -0.72
    Hat
    -0.72
    MT
    -0.71
    gran
    -0.69
    eenth
    -0.68
    owned
    -0.67
    POSITIVE LOGITS
     risks
    1.23
     risk
    1.00
    afety
    0.89
     gamble
    0.87
    risk
    0.86
     dangers
    0.84
    Downloadha
    0.84
    oteric
    0.84
     risking
    0.83
     hazards
    0.83
    Activations Density 0.010%

    No Known Activations