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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. 12-RES-JB
    11. 4131
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    INDEX
    Explanations

    phrases indicating desire or preference

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    expressions of desire or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    livious
    -0.71
    ynski
    -0.62
    assad
    -0.61
    berus
    -0.60
    trust
    -0.59
    anguage
    -0.58
    ikarp
    -0.57
    ammy
    -0.55
    errors
    -0.55
    gart
    -0.55
    POSITIVE LOGITS
     done
    0.89
     to
    0.87
     answered
    0.80
     undone
    0.79
    reprene
    0.76
     accomplished
    0.74
    eton
    0.72
     implemented
    0.72
     us
    0.70
     addressed
    0.70
    Activations Density 0.081%

    No Known Activations