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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. 11-RES-JB
    11. 1843
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    Explanations

    words related to financial transactions or business operations

    oai_token-act-pair · gpt-3.5-turbo

    references to economic conditions and consumer transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    yip
    -0.62
     advisable
    -0.58
    irable
    -0.55
     pract
    -0.54
     favourable
    -0.54
    atra
    -0.53
     mathemat
    -0.52
    Recipe
    -0.51
    pires
    -0.50
     favour
    -0.50
    POSITIVE LOGITS
    âĢ
    1.05
    ––
    0.85
    ——
    0.82
     âĢ
    0.80
    —
    0.80
    :]
    0.80
    ————
    0.80
    >,
    0.79
     >>
    0.76
    now
    0.76
    Activations Density 0.943%

    No Known Activations