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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. 4-RES-JB
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    Explanations

    references to outdoor activities, specifically hiking

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "hiking" and its variations

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

    No Comments

    Negative Logits
     Corpus
    -0.79
     IMAGES
    -0.69
    parts
    -0.68
    Dialogue
    -0.67
    eon
    -0.66
    Va
    -0.66
    liction
    -0.64
     chromos
    -0.63
    binary
    -0.63
    Slot
    -0.62
    POSITIVE LOGITS
     hiking
    1.07
     hike
    1.00
    iking
    0.86
     hikes
    0.84
     biking
    0.82
    iked
    0.73
     hikers
    0.72
    ancock
    0.72
    jriwal
    0.71
     trails
    0.69
    Activations Density 0.012%

    No Known Activations