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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. 3-RES-JB
    11. 12142
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    Explanations

    references to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tml
    -0.85
    ranging
    -0.83
    pire
    -0.79
    tain
    -0.76
     Maw
    -0.68
    aft
    -0.67
    fect
    -0.66
    skinned
    -0.65
    imentary
    -0.65
     drip
    -0.65
    POSITIVE LOGITS
     mates
    1.11
    mates
    0.99
     scrimmage
    0.87
     coached
    0.82
     captain
    0.82
     mate
    0.81
     captains
    0.75
    Coach
    0.73
     rosters
    0.73
     manager
    0.72
    Activations Density 0.053%

    No Known Activations