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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. 14632
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    INDEX
    Explanations

    phrases or clauses related to vague criticism or feedback

    oai_token-act-pair · gpt-3.5-turbo

    repetitive use of commas in various contexts

    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
    usterity
    -0.96
    onica
    -0.90
    elta
    -0.80
    SourceFile
    -0.80
    ighed
    -0.70
    orse
    -0.70
    enta
    -0.70
    Next
    -0.69
    coat
    -0.68
    zbek
    -0.68
    POSITIVE LOGITS
     somew
    0.77
     expects
    0.75
     encourages
    0.73
     manages
    0.73
     they
    0.73
     became
    0.73
     acknowledges
    0.72
     intends
    0.72
     suffers
    0.71
     concedes
    0.71
    Activations Density 0.260%

    No Known Activations