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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. 0-RES-JB
    11. 15307
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    Explanations

    numbers related to monetary value

    oai_token-act-pair · gpt-3.5-turbo

    quantitative expressions related to monetary values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     narratives
    -0.65
     cred
    -0.65
     JO
    -0.64
     earlier
    -0.63
     appar
    -0.63
     stare
    -0.63
     tro
    -0.62
     Heist
    -0.62
     behaviour
    -0.62
     kne
    -0.61
    POSITIVE LOGITS
    100
    3.45
    200
    2.21
    1000
    2.04
    300
    2.00
    10000
    1.99
    500
    1.96
    400
    1.92
    150
    1.92
    1001
    1.84
    101
    1.81
    Activations Density 0.012%

    No Known Activations