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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. 7045
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    Explanations

    words related to outdoor activities and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to trails

    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
    entric
    -0.70
    iation
    -0.66
    rencies
    -0.66
    elsius
    -0.65
    rators
    -0.65
    ascular
    -0.63
    ento
    -0.63
     occupational
    -0.61
     Marketable
    -0.60
     congr
    -0.59
    POSITIVE LOGITS
     Blazers
    1.08
     trail
    1.00
    keeper
    0.87
    ways
    0.85
    roads
    0.82
    toe
    0.80
     trails
    0.79
    bum
    0.78
    head
    0.77
     Trail
    0.76
    Activations Density 0.016%

    No Known Activations