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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. 2659
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    Explanations

    specific capitalized words or abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    references to something being recorded or documented

    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
     Stall
    -0.68
    ces
    -0.63
    ja
    -0.62
    cca
    -0.62
     exposed
    -0.61
     Akira
    -0.61
    che
    -0.61
     Hay
    -0.61
     mostly
    -0.61
     gold
    -0.60
    POSITIVE LOGITS
    ORD
    4.46
    ords
    2.23
    ord
    2.10
    order
    1.65
    ording
    1.65
    orders
    1.63
    Ord
    1.45
     ORDER
    1.34
    orde
    1.29
    ordinate
    1.23
    Activations Density 0.008%

    No Known Activations