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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. 11-RES-JB
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    references to the city of Buffalo, including sports teams and other institutions associated with the city

    oai_token-act-pair · gpt-3.5-turbo

    references to Buffalo sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICES
    -0.87
    ESA
    -0.80
    ices
    -0.74
    ially
    -0.72
    abases
    -0.70
    cases
    -0.69
    UAL
    -0.69
    inelli
    -0.65
    minist
    -0.65
    inen
    -0.64
    POSITIVE LOGITS
     Sabres
    1.40
     Bills
    1.30
     Niagara
    1.21
     Trace
    1.04
     Buffalo
    0.86
     Springfield
    0.83
     Beaut
    0.82
     Grove
    0.82
     buffalo
    0.81
     Wild
    0.80
    Activations Density 0.073%

    No Known Activations