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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. 2-RES-JB
    11. 1069
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    Explanations

    references to a specific sports team, specifically the Indianapolis Colts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Indianapolis Colts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.80
    ntil
    -0.78
    onymous
    -0.78
    lly
    -0.75
    gettable
    -0.72
    forcing
    -0.71
    cer
    -0.70
    akespe
    -0.70
    bush
    -0.69
    cule
    -0.67
    POSITIVE LOGITS
     Colts
    1.18
     Broncos
    0.79
    sburg
    0.77
    onian
    0.76
     Jaguars
    0.75
     Titans
    0.74
    ilage
    0.73
     Pacers
    0.72
    orius
    0.70
     Chargers
    0.70
    Activations Density 0.003%

    No Known Activations