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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. 4-RES-JB
    11. 13229
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    Explanations

    terms related to negative impacts or harmful effects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to adverse effects or reactions

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

    No Comments

    Negative Logits
    swick
    -0.74
    gdala
    -0.73
    liam
    -0.73
    hers
    -0.72
    į
    -0.72
    ership
    -0.72
    xxxxxxxx
    -0.72
    src
    -0.71
    chen
    -0.71
    alach
    -0.71
    POSITIVE LOGITS
     adverse
    1.04
     consequences
    1.00
     effects
    0.97
     undermin
    0.95
     consequence
    0.94
     outcomes
    0.92
     impacts
    0.87
     publicity
    0.87
     aspects
    0.82
     hazards
    0.82
    Activations Density 0.014%

    No Known Activations