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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. 10-RES-JB
    11. 6475
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    INDEX
    Explanations

    phrases related to negative consequences or risks

    oai_token-act-pair · gpt-3.5-turbo

    references to varying degrees of severity or crisis situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ographs
    -0.77
    Rules
    -0.76
    words
    -0.75
     honors
    -0.74
    istar
    -0.73
    Words
    -0.68
    notes
    -0.68
    Events
    -0.67
     experiments
    -0.67
    inside
    -0.67
    POSITIVE LOGITS
     lot
    1.19
     decrease
    1.14
     disproportionate
    1.13
     tremendous
    1.12
     significant
    1.11
     considerable
    1.10
     reduction
    1.10
     plethora
    1.09
     huge
    1.08
     substantial
    1.08
    Activations Density 0.227%

    No Known Activations