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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. 6-RES-JB
    11. 17410
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to numerical statistics and percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pload
    -0.75
    kefeller
    -0.72
    worldly
    -0.72
    icon
    -0.71
     Rav
    -0.65
    rants
    -0.64
    rir
    -0.63
    ollah
    -0.62
     dign
    -0.62
    ãĥ¤
    -0.61
    POSITIVE LOGITS
    +)
    0.73
    PsyNetMessage
    0.71
     percentile
    0.70
     utilization
    0.69
     humidity
    0.68
    +.
    0.67
     percent
    0.66
     reuse
    0.66
    imet
    0.65
     disapprove
    0.64
    Activations Density 0.064%

    No Known Activations