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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. 2-RES-JB
    11. 22126
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    Explanations

    words related to physical harm

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of harm or damage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     liner
    -0.70
    ARCH
    -0.67
    Interview
    -0.65
    KER
    -0.63
    zsche
    -0.62
    Jer
    -0.61
    gran
    -0.60
     handy
    -0.60
    Completed
    -0.59
     Prospect
    -0.59
    POSITIVE LOGITS
    onies
    1.27
    lessly
    1.20
     harm
    1.09
     harms
    1.00
    lessness
    0.90
    fully
    0.89
    ful
    0.86
    bite
    0.84
    fulness
    0.83
    benefit
    0.82
    Activations Density 0.013%

    No Known Activations