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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. 10-RES-JB
    6. 1783
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.66
     suspic
    -0.62
    Ö¼
    -0.60
     describ
    -0.60
    MIC
    -0.59
    ailability
    -0.58
     predominantly
    -0.58
     JPM
    -0.58
    TEXT
    -0.57
    ossibility
    -0.56
    POSITIVE LOGITS
    !
    1.34
    !"
    1.18
    !,
    1.11
    !'
    1.10
    !.
    1.09
    !",
    1.08
    !".
    1.05
    !]
    1.04
    !:
    1.03
    !'"
    1.02
    Activations Density 0.154%

    No Known Activations