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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

    locations or points of interest described by the word "intersection"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of intersections in both literal and metaphorical contexts

    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
    warm
    -0.78
    FORE
    -0.69
    ighth
    -0.68
    lee
    -0.67
    ALD
    -0.66
    apons
    -0.66
    sonian
    -0.64
    Doctors
    -0.64
    iken
    -0.64
    ankind
    -0.64
    POSITIVE LOGITS
     intersection
    1.09
     intersections
    0.99
     junction
    0.80
     Frie
    0.79
    lane
    0.79
     Sakuya
    0.72
     intersect
    0.72
    reon
    0.72
     Beir
    0.69
    cross
    0.67
    Activations Density 0.014%

    No Known Activations