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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. 6-RES-JB
    11. 24478
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    Explanations

    safety and warning instructions or information

    oai_token-act-pair · gpt-3.5-turbo

    warnings and cautions related to safety and health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kay
    -0.71
    alter
    -0.68
    Interview
    -0.68
    itures
    -0.67
    aware
    -0.66
    sole
    -0.66
    iture
    -0.65
    fits
    -0.65
    entry
    -0.64
    Collins
    -0.63
    POSITIVE LOGITS
    */(
    0.79
     sooner
    0.77
     lest
    0.76
     otherwise
    0.75
    cffff
    0.74
     [|
    0.73
     promise
    0.72
     actionGroup
    0.71
    odan
    0.70
     notoriously
    0.70
    Activations Density 0.617%

    No Known Activations