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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 8191
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    Explanations

    adverbs describing the extent or manner of an action or event

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate visible or noticeable emotional states or reactions

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

    No Comments

    Negative Logits
    berman
    -0.84
    zsche
    -0.80
    claimer
    -0.68
    ridge
    -0.68
    quote
    -0.67
    directed
    -0.67
    spr
    -0.65
    cius
    -0.65
    enthal
    -0.64
    pez
    -0.64
    POSITIVE LOGITS
     noticeable
    1.00
     audible
    0.90
     detectable
    0.79
    Flor
    0.74
     Dull
    0.72
     visible
    0.72
     defic
    0.72
    Ju
    0.72
     percept
    0.71
     noticeably
    0.71
    Activations Density 0.019%

    No Known Activations