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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. 9-RES-JB
    6. 4445
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    INDEX
    Explanations

    pronouns referring to people

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups in the context of struggles or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Eleven
    -0.70
    CCC
    -0.68
    Rating
    -0.59
    Offline
    -0.58
     Binding
    -0.58
     Witt
    -0.58
     Links
    -0.58
    stellar
    -0.58
     Sequ
    -0.58
     Dome
    -0.57
    POSITIVE LOGITS
    're
    1.70
    've
    1.33
     are
    1.24
     themselves
    1.21
    'll
    1.21
     deserve
    1.12
     aren
    1.11
     were
    1.08
     perceive
    1.07
    'd
    1.06
    Activations Density 0.240%

    No Known Activations