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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. 12348
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    Explanations

    references or mentions of financial assets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "assets"

    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
    tons
    -0.85
    OUT
    -0.70
     Adin
    -0.66
    stall
    -0.66
     Repe
    -0.65
    apers
    -0.65
    ·
    -0.65
    apest
    -0.64
    WAY
    -0.64
    bone
    -0.64
    POSITIVE LOGITS
     holdings
    1.18
     assets
    1.11
     asset
    1.06
     stash
    0.92
    itures
    0.89
     wealth
    0.88
     amassed
    0.88
    iture
    0.86
    folios
    0.85
     portfolio
    0.82
    Activations Density 0.011%

    No Known Activations