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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. 6-RES-JB
    11. 5599
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    INDEX
    Explanations

    percentages or proportions of a whole

    oai_token-act-pair · gpt-3.5-turbo

    statistical proportions and percentages related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ande
    -0.68
    worms
    -0.68
     overcame
    -0.65
    erity
    -0.64
     groom
    -0.62
     notwithstanding
    -0.60
    spir
    -0.60
    hur
    -0.60
    orce
    -0.60
    laws
    -0.59
    POSITIVE LOGITS
    %%
    0.80
    ibrary
    0.80
     Flavoring
    0.75
    swick
    0.75
    UF
    0.70
     territory
    0.70
     TG
    0.68
     entirety
    0.67
    OF
    0.66
    izational
    0.66
    Activations Density 0.118%

    No Known Activations