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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. 1273
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    INDEX
    Explanations

    phrases indicating different levels of activities or achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to merit or quality within systems or activities

    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
    ika
    -0.69
     Dj
    -0.68
     crow
    -0.67
    tion
    -0.66
     liner
    -0.66
     Jacques
    -0.65
    inate
    -0.65
     sink
    -0.63
     transl
    -0.63
     haze
    -0.62
    POSITIVE LOGITS
    Merit
    5.55
    wcsstore
    1.85
    Marginal
    1.18
    Bitcoin
    1.17
    bitcoin
    1.16
    maxwell
    1.11
    DAQ
    1.11
    coin
    1.11
    BTC
    1.10
     Flavoring
    1.09
    Activations Density 0.021%

    No Known Activations