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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. 10-RES-JB
    11. 9947
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    Explanations

    words related to official statements or documented concerns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "The" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cum
    -0.80
    ãĤ´ãĥ³
    -0.80
    udder
    -0.76
    ãĤ´
    -0.72
    ?,
    -0.70
    android
    -0.69
    pless
    -0.68
     aka
    -0.67
    bg
    -0.67
    worn
    -0.66
    POSITIVE LOGITS
    resa
    1.26
    oret
    1.24
     notion
    1.15
     idea
    1.11
     biggest
    1.09
     reason
    1.08
     implication
    1.07
     intention
    1.07
     purpose
    1.06
     fact
    1.04
    Activations Density 0.201%

    No Known Activations