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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. 23128
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    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data and accompanying descriptors

    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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    No Comments

    Negative Logits
    iple
    -0.84
    ase
    -0.73
    itol
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    ulus
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    ory
    -0.70
    ¦
    -0.69
    ©
    -0.68
    erm
    -0.67
    itarian
    -0.66
    udo
    -0.66
    POSITIVE LOGITS
     including
    1.30
     culminating
    1.13
     utilizing
    1.09
     includ
    1.06
     incorporating
    1.05
     showcasing
    1.05
     respectively
    1.03
     ensuring
    0.99
     featuring
    0.98
     integrating
    0.98
    Activations Density 0.478%

    No Known Activations