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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17876
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    INDEX
    Explanations

    mentions of anticipated outcomes or results

    oai_token-act-pair · gpt-3.5-turbo

    the letter 's' 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
     Britons
    -0.60
     Rebell
    -0.57
     Continental
    -0.56
     WARN
    -0.55
    roit
    -0.54
     attaches
    -0.53
     Tours
    -0.53
     Imagine
    -0.53
     Resort
    -0.53
    assisted
    -0.52
    POSITIVE LOGITS
    omething
    1.01
     plenty
    0.92
     been
    0.84
     nothing
    0.84
     gotta
    0.81
    ometimes
    0.77
    been
    0.76
     somew
    0.76
    little
    0.75
     alot
    0.75
    Activations Density 0.031%

    No Known Activations