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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. 9-RES-JB
    11. 3261
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    Explanations

    mentions of names associated with cycling races and events

    oai_token-act-pair · gpt-3.5-turbo

    names of people involved in sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tumblr
    -0.95
    Newsletter
    -0.86
     appropriations
    -0.78
    iblical
    -0.78
     appropriation
    -0.76
    ibrary
    -0.76
    library
    -0.76
    DragonMagazine
    -0.76
     indoctr
    -0.75
    taboola
    -0.74
    POSITIVE LOGITS
     Racing
    1.17
     tyre
    1.09
     Motorsport
    1.08
     Ferrari
    1.00
     McLaren
    0.99
    Sport
    0.95
     rider
    0.95
     tyres
    0.95
     doping
    0.95
     Garmin
    0.94
    Activations Density 0.229%

    No Known Activations