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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. 8-RES-JB
    11. 24228
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    INDEX
    Explanations

    instances where an event is expected or anticipated

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "be" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wish
    -0.74
     worries
    -0.70
     wishes
    -0.69
     shenanigans
    -0.67
     gulf
    -0.66
     negativity
    -0.65
     Salmon
    -0.65
     fears
    -0.64
    oples
    -0.64
     desire
    -0.63
    POSITIVE LOGITS
     marketed
    1.27
     able
    1.22
     phased
    1.18
     capable
    1.17
     reborn
    1.10
     priced
    1.10
     operated
    1.07
     equipped
    1.07
     powered
    1.06
     incorporated
    1.05
    Activations Density 0.412%

    No Known Activations