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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. 0-RES-JB
    11. 12679
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    Explanations

    references to physical items or objects mentioned in a technical or informative context

    oai_token-act-pair · gpt-3.5-turbo

    references to playing cards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ategory
    -0.72
    ervative
    -0.71
     Doct
    -0.67
    urnal
    -0.66
    ulture
    -0.65
    urbed
    -0.65
     Reported
    -0.64
    Mos
    -0.63
    produ
    -0.62
    eryl
    -0.62
    POSITIVE LOGITS
     cards
    3.91
     Cards
    3.02
    cards
    2.97
     card
    2.79
    card
    2.20
     Card
    2.18
    Card
    2.15
     decks
    2.02
     CARD
    1.88
     deck
    1.41
    Activations Density 0.018%

    No Known Activations