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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

    references to specific college sports teams and programs

    oai_token-act-pair · gpt-3.5-turbo

    references to college football teams and their respective programs

    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
    uters
    -0.74
     fuelled
    -0.68
    lest
    -0.67
     disorder
    -0.65
     manoeuv
    -0.64
     fue
    -0.64
    nsic
    -0.63
    */(
    -0.63
    aft
    -0.63
     smugglers
    -0.63
    POSITIVE LOGITS
    keyes
    1.15
     Bulldogs
    1.04
    keye
    1.02
     Athletic
    1.00
     Athletics
    0.99
     athletics
    0.99
    aneers
    0.98
     Wildcats
    0.98
     Volunteers
    0.92
     alum
    0.91
    Activations Density 0.150%

    No Known Activations