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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. 9-RES-JB
    11. 8753
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    phrases related to criticism or pressure being faced by individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being under scrutiny or criticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.65
     aber
    -0.63
    nostic
    -0.62
    teness
    -0.61
    ete
    -0.60
     cures
    -0.60
     Nope
    -0.60
    esse
    -0.59
    dimension
    -0.58
    ueless
    -0.58
    POSITIVE LOGITS
     stemming
    0.91
     owing
    0.77
    xual
    0.74
     lately
    0.74
     emanating
    0.72
     levied
    0.70
    én
    0.69
     domestically
    0.69
     from
    0.68
    waves
    0.66
    Activations Density 0.180%

    No Known Activations