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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. 11-RES-JB
    11. 21721
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    INDEX
    Explanations

    phrases that express causality or purpose

    oai_token-act-pair · gpt-3.5-turbo

    causative phrases that introduce outcomes or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Purg
    -0.57
    REL
    -0.55
    Plus
    -0.55
    ="/
    -0.54
     PLUS
    -0.54
    ascus
    -0.53
    eni
    -0.53
     Ples
    -0.52
     extraord
    -0.52
     Dating
    -0.52
    POSITIVE LOGITS
     that
    1.06
    othe
    1.03
    othes
    0.96
    oner
    0.92
    apy
    0.87
     THAT
    0.86
     they
    0.84
    bered
    0.83
    aps
    0.78
    oths
    0.77
    Activations Density 0.065%

    No Known Activations