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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. 7-RES-JB
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    Explanations

    the word "re" in the text

    oai_token-act-pair · gpt-3.5-turbo

    the word "re" in various contexts, suggesting a focus on references or statements made by the reader

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.76
    pedia
    -0.74
    ð
    -0.70
     Zup
    -0.68
    BuyableInstoreAndOnline
    -0.68
    inav
    -0.67
    Ping
    -0.66
    CVE
    -0.63
    ertodd
    -0.62
     Continental
    -0.62
    POSITIVE LOGITS
     gonna
    0.88
    ngth
    0.84
     unsure
    0.83
    agine
    0.82
    becca
    0.77
    selves
    0.76
     done
    0.72
    self
    0.71
    chance
    0.71
     going
    0.71
    Activations Density 0.036%

    No Known Activations