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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. 11247
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    Explanations

    information about leaders of organizations or groups

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving leadership or groups being led

    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
     sunset
    -0.71
    terday
    -0.65
    cube
    -0.64
    afort
    -0.63
    ighth
    -0.62
     Scotia
    -0.61
    endi
    -0.61
    ivot
    -0.60
     FTA
    -0.59
    ombies
    -0.57
    POSITIVE LOGITS
    gers
    1.04
    better
    0.93
    ging
    0.84
    ges
    0.83
    gling
    0.82
    leaders
    0.81
    wcs
    0.77
    lead
    0.76
     Leading
    0.74
    Īè
    0.74
    Activations Density 0.036%

    No Known Activations