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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. 7021
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    adverbs indicating emphasis or certainty

    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
    ieve
    -0.71
    acks
    -0.67
    ollow
    -0.67
    rongh
    -0.67
    ussions
    -0.67
     Afterwards
    -0.65
    cf
    -0.63
    nel
    -0.61
    ortmund
    -0.60
    soever
    -0.60
    POSITIVE LOGITS
    been
    1.40
     been
    1.40
     gotten
    1.28
     gonna
    1.27
     gotta
    1.25
     got
    1.13
     Been
    1.07
     gone
    1.04
     done
    0.94
    hin
    0.89
    Activations Density 0.149%

    No Known Activations