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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. 0-RES-JB
    11. 7941
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    Explanations

    words related to intense disagreement or conflict

    oai_token-act-pair · gpt-3.5-turbo

    words related to strong negative emotions or conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     travel
    -0.63
     Speed
    -0.63
     buttons
    -0.63
    Dash
    -0.62
     handic
    -0.62
     Emergency
    -0.61
     props
    -0.61
     reset
    -0.61
     assets
    -0.60
     Bank
    -0.60
    POSITIVE LOGITS
    orous
    4.38
    orously
    3.44
    ores
    1.59
    oric
    1.48
    orus
    1.32
    our
    1.32
    antine
    1.31
    orically
    1.29
    uous
    1.26
    orescence
    1.26
    Activations Density 0.013%

    No Known Activations