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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. 8913
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    Explanations

    parentheses with a significant matching value compared to other parts of the text

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and sequences listing items or conditions

    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
     wreck
    -0.67
     swinging
    -0.67
     haun
    -0.66
    bered
    -0.66
    iera
    -0.66
    vez
    -0.65
     haunt
    -0.65
    vale
    -0.65
     grocer
    -0.62
     swing
    -0.62
    POSITIVE LOGITS
     Introduction
    1.02
     Thou
    0.86
     Includes
    0.84
     Approximately
    0.84
    Individual
    0.82
     Definitions
    0.81
     Firstly
    0.81
     Immediately
    0.80
     Actual
    0.78
     Provides
    0.76
    Activations Density 0.102%

    No Known Activations