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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. 1-RES-JB
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    Explanations

    mentions of the Tampa Bay Buccaneers football team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Tampa and its associated sports team, the Buccaneers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    places
    -0.87
    Ô
    -0.84
    theless
    -0.74
    naire
    -0.72
     WARN
    -0.70
    imates
    -0.69
    rg
    -0.68
    ynt
    -0.68
    vet
    -0.67
    LOAD
    -0.67
    POSITIVE LOGITS
     Tampa
    1.21
     Bay
    1.12
     Tribune
    1.00
    pole
    0.97
    ampa
    0.92
     Bucs
    0.92
     Buccaneers
    0.91
     bay
    0.83
    ignt
    0.81
     Rays
    0.80
    Activations Density 0.005%

    No Known Activations