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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. 3-RES-JB
    11. 8375
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    Explanations

    mentions of budget-related terms and the act of paying or justifying expenses

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial constraints and expenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Sanct
    -0.72
     Obst
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     Cosponsors
    -0.71
    apo
    -0.70
     polio
    -0.69
     Yad
    -0.69
    è¦ļéĨĴ
    -0.68
     poisoned
    -0.68
     Sanford
    -0.67
    nat
    -0.66
    POSITIVE LOGITS
    itures
    0.87
    $$$$
    0.86
    umer
    0.84
    umers
    0.79
    starter
    0.79
    icol
    0.78
    ega
    0.76
     cash
    0.76
    ixel
    0.74
    iture
    0.74
    Activations Density 0.142%

    No Known Activations