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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
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    Explanations

    terms related to fatal or deadly events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fatal" referring to serious events or incidents

    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
    orthy
    -0.83
    annis
    -0.78
    arte
    -0.78
    atcher
    -0.73
    arity
    -0.72
    here
    -0.69
    hen
    -0.67
     digs
    -0.66
    gemony
    -0.66
    eller
    -0.65
    POSITIVE LOGITS
    istically
    1.05
    istic
    1.04
     fatal
    0.99
    ities
    0.92
     flaw
    0.89
     accidents
    0.88
    ist
    0.86
    ism
    0.86
    ized
    0.83
     overdose
    0.81
    Activations Density 0.013%

    No Known Activations