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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. 23952
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    Explanations

    names or words with "arn" in them

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the string "arn" in the text

    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
    lda
    -0.73
    ongyang
    -0.66
    HER
    -0.63
    ------------------------------------------------
    -0.60
    BILITY
    -0.59
    ples
    -0.58
    ©¶æ
    -0.58
     Uri
    -0.57
    Glass
    -0.57
    INT
    -0.57
    POSITIVE LOGITS
    ataka
    1.20
    ished
    1.00
    aby
    0.98
    sworth
    0.93
    ishment
    0.92
    ivals
    0.90
    obyl
    0.88
    aughs
    0.88
    ival
    0.87
    ings
    0.86
    Activations Density 0.049%

    No Known Activations