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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. 9-RES-JB
    11. 8602
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    Explanations

    phrases related to clothing, specifically t-shirts

    oai_token-act-pair · gpt-3.5-turbo

    references to T-shirts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Helpful
    -0.66
     Kund
    -0.63
     omn
    -0.63
     underworld
    -0.61
     tighter
    -0.58
     authoritative
    -0.58
     academ
    -0.58
     digestion
    -0.57
     waterfall
    -0.57
     cultivation
    -0.57
    POSITIVE LOGITS
    shirts
    1.49
    shirt
    1.49
    rex
    1.21
    Rex
    1.00
    minus
    0.99
    mobile
    0.98
    1000
    0.92
    Mobile
    0.88
    Bone
    0.85
    bon
    0.84
    Activations Density 0.037%

    No Known Activations