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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. 9117
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    INDEX
    Explanations

    adjectives and nouns related to evaluations or judgments

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment or frustration

    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
    —"
    -0.84
    ensibly
    -0.68
    ãĥīãĥ©
    -0.65
     postseason
    -0.63
     counterterrorism
    -0.63
     broader
    -0.63
     nond
    -0.63
     bona
    -0.62
    "—
    -0.61
     longtime
    -0.61
    POSITIVE LOGITS
     haha
    1.42
     lol
    1.40
     alot
    1.36
     ie
    1.26
     ;)
    1.26
     thats
    1.20
     !!
    1.19
     :)
    1.18
    !!!!
    1.18
     etc
    1.13
    Activations Density 1.327%

    No Known Activations