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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. 8-RES-JB
    11. 8329
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    Explanations

    phrases related to fiscal impact and financial consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial and economic consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vez
    -0.68
     knot
    -0.58
     Gem
    -0.57
    ãĤ¢ãĥ«
    -0.56
     Neptune
    -0.56
     kinderg
    -0.55
    FTWARE
    -0.55
     POL
    -0.55
     ball
    -0.54
     cabinets
    -0.54
    POSITIVE LOGITS
     incurred
    1.11
     attributable
    1.05
     arising
    1.02
     caused
    0.90
     resulting
    0.89
     stemming
    0.86
     accrued
    0.84
     downstream
    0.83
     consequence
    0.83
    ienced
    0.82
    Activations Density 0.491%

    No Known Activations