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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. 10-RES-JB
    11. 24311
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    Explanations

    adjectives related to physical attributes or conditions

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives related to textures and physical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rule
    -0.75
    andom
    -0.72
     legislator
    -0.71
    RIPT
    -0.68
     portfolio
    -0.67
     href
    -0.65
     Surveillance
    -0.65
     Lifetime
    -0.64
     theorem
    -0.64
     lawmaker
    -0.62
    POSITIVE LOGITS
     enough
    1.30
    ened
    1.21
    ening
    1.06
    ly
    0.98
    faced
    0.98
    ingly
    0.96
    der
    0.94
    founded
    0.92
    sided
    0.91
    ified
    0.91
    Activations Density 0.199%

    No Known Activations