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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. 1-RES-JB
    11. 15770
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    Explanations

    adverbs describing the manner in which something is done

    oai_token-act-pair · gpt-3.5-turbo

    words describing visibility and perceptibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bard
    -0.82
    ovie
    -0.80
    ridge
    -0.76
    zsche
    -0.74
    ondon
    -0.73
    yt
    -0.71
    lli
    -0.70
    lect
    -0.69
    rive
    -0.68
     contingency
    -0.68
    POSITIVE LOGITS
     noticeable
    1.13
     visibly
    0.95
     noticeably
    0.93
     detectable
    0.92
     audible
    0.83
     defic
    0.83
    Appearance
    0.80
     slowdown
    0.74
     buds
    0.73
     percept
    0.72
    Activations Density 0.014%

    No Known Activations