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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
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    Explanations

    references to sports victories

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sports victories

    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
    illary
    -0.85
    udder
    -0.74
     resear
    -0.72
    redits
    -0.71
    vier
    -0.70
    alf
    -0.67
    aund
    -0.67
    assian
    -0.67
    ogh
    -0.66
    ooks
    -0.65
    POSITIVE LOGITS
    lord
    0.85
    clock
    0.83
    hang
    0.82
    drive
    0.79
    loading
    0.71
    whelming
    0.71
    match
    0.69
    haul
    0.68
    tones
    0.68
     tame
    0.68
    Activations Density 0.054%

    No Known Activations