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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. 7-RES-JB
    11. 18962
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    Explanations

    statements related to causing harm or potential harm

    oai_token-act-pair · gpt-3.5-turbo

    references to harm or the potential for harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KER
    -0.70
    zsche
    -0.68
    ARCH
    -0.66
     liner
    -0.65
     loader
    -0.63
     Currency
    -0.63
    ulators
    -0.61
     Herz
    -0.61
    ulous
    -0.61
    ipel
    -0.60
    POSITIVE LOGITS
    onies
    1.28
    lessly
    1.27
    fully
    1.00
     inflicted
    0.95
    ful
    0.94
    fulness
    0.90
    lessness
    0.89
     harm
    0.86
    bringer
    0.84
    informed
    0.80
    Activations Density 0.037%

    No Known Activations