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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. 6-RES-JB
    11. 17882
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    Explanations

    words related to financial revenues and profits

    oai_token-act-pair · gpt-3.5-turbo

    references to financial revenues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¢
    -0.68
     guts
    -0.67
     Indonesian
    -0.66
     Sinclair
    -0.63
     killers
    -0.62
     drivers
    -0.61
     crimes
    -0.61
    fixes
    -0.60
     Genocide
    -0.60
     bombs
    -0.59
    POSITIVE LOGITS
    ational
    0.92
    ationally
    0.81
    ourced
    0.79
    abulary
    0.78
    rained
    0.78
    vironment
    0.76
    ktop
    0.76
    LECT
    0.75
    ourcing
    0.74
    acion
    0.73
    Activations Density 0.084%

    No Known Activations