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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. 6636
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    Explanations

    phrases indicating a comparison or contrast between different perspectives or approaches

    oai_token-act-pair · gpt-3.5-turbo

    negations or phrases emphasizing what something is not

    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
    *:
    -0.62
    riber
    -0.60
    }}}
    -0.60
    lance
    -0.60
    stru
    -0.60
    kees
    -0.58
    WER
    -0.58
    FAQ
    -0.58
    stice
    -0.57
     [+
    -0.55
    POSITIVE LOGITS
     necessarily
    1.54
    epad
    1.16
    withstanding
    1.09
    ifying
    0.98
     merely
    0.95
    icably
    0.92
    ifies
    0.91
     vice
    0.88
     unlike
    0.86
     just
    0.85
    Activations Density 0.059%

    No Known Activations