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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. 4-RES-JB
    11. 37
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    INDEX
    Explanations

    conjunctions followed by oppositional statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate moral or ethical dilemmas

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

    No Comments

    Negative Logits
    ife
    -0.53
    PRES
    -0.47
    Tonight
    -0.46
    units
    -0.45
    white
    -0.44
    utm
    -0.44
    but
    -0.43
    si
    -0.43
     tv
    -0.43
    Bound
    -0.42
    POSITIVE LOGITS
    etheless
    0.70
     nonetheless
    0.68
     disclaim
    0.60
     caution
    0.59
     balk
    0.57
     caveats
    0.56
     anecdotal
    0.56
     cautioned
    0.54
     stubborn
    0.53
     prevailed
    0.53
    Activations Density 2.543%

    No Known Activations