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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. 7-RES-JB
    11. 7372
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial technology (fintech)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    è¦ļéĨĴ
    -0.84
    gypt
    -0.74
    days
    -0.71
    SHIP
    -0.69
    phy
    -0.68
    bris
    -0.67
    OAD
    -0.67
    ciating
    -0.67
    jriwal
    -0.67
    accompan
    -0.66
    POSITIVE LOGITS
    ellect
    1.12
    elligent
    0.93
    ypes
    0.92
    angible
    0.80
    eki
    0.78
    essa
    0.76
    ér
    0.76
    ribution
    0.75
    illation
    0.75
    opia
    0.71
    Activations Density 0.025%

    No Known Activations