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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. 11-RES-JB
    11. 4997
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    Explanations

    adjectives followed by the word "level" to describe a certain quality or characteristic

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate varying degrees of intensity or proficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ory
    -0.72
    sov
    -0.71
    ories
    -0.70
     Rounds
    -0.69
    fect
    -0.69
    oral
    -0.66
    orous
    -0.63
     fumes
    -0.63
    our
    -0.62
    orie
    -0.62
    POSITIVE LOGITS
     crossings
    0.89
    headed
    0.81
    xual
    0.76
    ahead
    0.74
     attained
    0.73
     shif
    0.72
    iculty
    0.71
     rise
    0.68
     crossing
    0.67
     attainment
    0.67
    Activations Density 0.063%

    No Known Activations