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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

    words related to epidemiology and causal relationships

    oai_token-act-pair · gpt-3.5-turbo

    terms related to epidemiology and cause-and-effect relationships

    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
    FUL
    -0.71
     chained
    -0.70
     immersion
    -0.67
     Centauri
    -0.67
     Fortress
    -0.65
     sterling
    -0.64
     converter
    -0.63
     sentences
    -0.63
    holders
    -0.62
     pedest
    -0.61
    POSITIVE LOGITS
    iological
    1.14
    iology
    1.09
     Epidem
    1.02
    iologist
    1.01
    omen
    1.00
    ologically
    1.00
     epidem
    0.97
    odynamic
    0.95
    aret
    0.89
    icist
    0.89
    Activations Density 0.015%

    No Known Activations