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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. 4-RES-JB
    11. 2190
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    INDEX
    Explanations

    phrases related to organizational structures and decision-making in a professional setting

    oai_token-act-pair · gpt-3.5-turbo

    references to sports programs and their organizational structures

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

    No Comments

    Negative Logits
    ouk
    -0.79
    uckland
    -0.75
    tein
    -0.73
    eport
    -0.71
    skirts
    -0.70
    colo
    -0.70
     Drac
    -0.68
    ok
    -0.67
     Fem
    -0.66
    cart
    -0.65
    POSITIVE LOGITS
     dynasty
    0.87
     backfield
    0.80
    Coach
    0.79
     coaches
    0.77
     bolted
    0.77
     mates
    0.76
     mortg
    0.76
     lineback
    0.74
     offseason
    0.74
     hierarchy
    0.74
    Activations Density 0.076%

    No Known Activations