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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. 4098
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    Explanations

    people in positions of authority or power

    oai_token-act-pair · gpt-3.5-turbo

    references to rulers and leadership

    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
    ogene
    -0.68
    termination
    -0.67
    atorium
    -0.66
    into
    -0.65
    sterdam
    -0.64
    olog
    -0.64
    oken
    -0.63
     Survivors
    -0.63
    asca
    -0.62
    ird
    -0.62
    POSITIVE LOGITS
    esses
    0.97
     ruler
    0.97
    pin
    0.96
    pins
    0.86
    ess
    0.83
     rulers
    0.83
     extraord
    0.77
    hip
    0.76
     "$:/
    0.74
    matical
    0.71
    Activations Density 0.019%

    No Known Activations