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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. 6-RES-JB
    11. 402
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    Explanations

    unclear due to the diverse and non-cohesive set of activations provided

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and brackets in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olicy
    -0.86
     utilities
    -0.81
     manufact
    -0.81
     redu
    -0.80
     bund
    -0.75
     absor
    -0.75
     govern
    -0.75
    ggles
    -0.74
    ividual
    -0.73
     subclass
    -0.71
    POSITIVE LOGITS
    laughs
    1.81
    Laughs
    1.67
    sic
    1.59
    laughter
    1.37
    âĢ¦)
    1.22
    laugh
    1.17
    ...)
    1.15
    ?)
    1.12
    insert
    1.10
    emphasis
    1.08
    Activations Density 0.124%

    No Known Activations