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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
    11. 1883
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    Explanations

    instances where individuals are involved in specific actions or events

    oai_token-act-pair · gpt-3.5-turbo

    topics related to individual actions or accountability

    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
     Transcript
    -0.63
     closures
    -0.51
    pmwiki
    -0.50
     Games
    -0.50
     mechanisms
    -0.49
     ramps
    -0.48
     Explos
    -0.48
     Traps
    -0.47
     Strategies
    -0.46
     Wast
    -0.45
    POSITIVE LOGITS
     whom
    0.81
    who
    0.64
    artney
    0.63
    whose
    0.59
    gue
    0.54
     Mara
    0.51
     Masquerade
    0.51
     aged
    0.50
    ozyg
    0.50
    rosse
    0.50
    Activations Density 2.257%

    No Known Activations