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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. 3105
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    Explanations

    phrases related to sports trophies

    oai_token-act-pair · gpt-3.5-turbo

    references to various sports trophies

    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
    lement
    -0.76
    utenberg
    -0.76
    anwhile
    -0.72
    aunder
    -0.70
    olen
    -0.70
    paio
    -0.70
    early
    -0.69
    ket
    -0.68
    eller
    -0.68
     hypers
    -0.67
    POSITIVE LOGITS
     Trophy
    1.40
    phies
    0.91
     trophy
    0.85
     Prize
    0.82
     Winners
    0.82
     Award
    0.80
     Awards
    0.80
     trophies
    0.78
     Medal
    0.76
     è£ı
    0.75
    Activations Density 0.009%

    No Known Activations