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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
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    Explanations

    mentions of recreational activities related to biking

    oai_token-act-pair · gpt-3.5-turbo

    references to bicycles and biking activities

    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
    arial
    -0.93
    mberg
    -0.83
    urities
    -0.79
    ional
    -0.77
    orial
    -0.76
    iary
    -0.75
    lishes
    -0.75
    ordial
    -0.74
     Seym
    -0.73
    uminati
    -0.71
    POSITIVE LOGITS
    bike
    1.13
    puter
    1.05
     Bike
    0.86
     bike
    0.86
     rider
    0.82
    walk
    0.81
    packing
    0.80
    cling
    0.77
    cycle
    0.77
    Tips
    0.76
    Activations Density 0.015%

    No Known Activations