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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. 3-RES-JB
    11. 12217
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    INDEX
    Explanations

    references to wide openings or significant flaws

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant flaws or boastfulness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mub
    -0.75
    ENS
    -0.66
     Farrell
    -0.64
    HAEL
    -0.62
    enegger
    -0.61
    warm
    -0.61
     CLR
    -0.60
    ing
    -0.60
     Wond
    -0.60
    yy
    -0.59
    POSITIVE LOGITS
    bled
    0.82
    ominated
    0.81
    ulation
    0.79
    bling
    0.76
    aughter
    0.73
    ulatory
    0.72
    lisher
    0.71
    idad
    0.71
    urse
    0.68
    ulously
    0.68
    Activations Density 0.025%

    No Known Activations