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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15754
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    Explanations

    verbs related to progress or change

    oai_token-act-pair · gpt-3.5-turbo

    terms related to ongoing actions or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.62
    azo
    -0.59
    vous
    -0.57
    odon
    -0.56
    urat
    -0.56
    odan
    -0.56
    atown
    -0.56
     mosqu
    -0.56
    ynasty
    -0.54
    selage
    -0.54
    POSITIVE LOGITS
    BIL
    0.56
     commodities
    0.52
    Ĥİ
    0.52
     Ratings
    0.52
     Clive
    0.49
     FOIA
    0.47
     Mechdragon
    0.47
     Harvest
    0.47
     Sig
    0.46
     Occupations
    0.46
    Activations Density 1.014%

    No Known Activations