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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. 2-RES-JB
    11. 7565
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    Explanations

    mentions of bicycles or related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to biking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.86
    iary
    -0.78
    ordial
    -0.75
    itives
    -0.71
    orial
    -0.69
    mberg
    -0.69
    lishes
    -0.67
    ews
    -0.67
    urities
    -0.66
    oral
    -0.66
    POSITIVE LOGITS
    bike
    1.20
    puter
    0.99
     bike
    0.91
     Bike
    0.88
    cycle
    0.82
     bikes
    0.78
     biking
    0.77
     rider
    0.77
    Cop
    0.74
     ridden
    0.74
    Activations Density 0.010%

    No Known Activations