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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. 23345
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    Explanations

    mentions of financial surplus

    oai_token-act-pair · gpt-3.5-turbo

    references to surplus or excess

    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
     Nid
    -0.71
     Detection
    -0.69
     Elev
    -0.68
    ider
    -0.66
    MIT
    -0.64
    telling
    -0.63
    ingers
    -0.62
    tell
    -0.61
    iders
    -0.61
    ults
    -0.61
    POSITIVE LOGITS
     surplus
    4.20
     deficit
    1.64
     shortfall
    1.52
     excess
    1.32
     deficits
    1.23
     profit
    1.08
     shortage
    1.07
     unused
    1.04
     deficiency
    1.03
     leftover
    1.01
    Activations Density 0.010%

    No Known Activations