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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. 9-RES-JB
    11. 19908
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    Explanations

    terms related to being influenced or impacted by external factors

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "affected" and its variations, indicating impacts on individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cia
    -0.75
    çĦ
    -0.74
    ç«
    -0.66
    YC
    -0.64
    outh
    -0.62
    ope
    -0.61
    cour
    -0.60
    fighters
    -0.58
     Zh
    -0.56
    ILLE
    -0.56
    POSITIVE LOGITS
     adversely
    1.14
     negatively
    0.95
     by
    0.86
     financially
    0.84
     acutely
    0.82
     affected
    0.80
     severely
    0.73
     impacted
    0.73
     disproportionately
    0.72
     badly
    0.71
    Activations Density 0.075%

    No Known Activations