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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. 7-RES-JB
    11. 8988
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    INDEX
    Explanations

    phrases introducing information or making assertions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a basis or foundation for statements or claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bats
    -0.78
    vous
    -0.77
    Forge
    -0.76
    Sport
    -0.69
    jee
    -0.69
    ctic
    -0.68
    bage
    -0.67
    brew
    -0.66
    mite
    -0.66
    RL
    -0.65
    POSITIVE LOGITS
     assumption
    0.89
     behalf
    0.89
     observation
    0.81
     principles
    0.79
     hears
    0.77
     assumptions
    0.74
     sheer
    0.73
     suspicion
    0.72
     suggestions
    0.71
     premise
    0.71
    Activations Density 0.057%

    No Known Activations