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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. 13739
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    Explanations

    phrases related to ensuring or confirming something

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the importance of assurance or certainty

    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
     pione
    -0.72
    igmatic
    -0.71
    gression
    -0.71
    atro
    -0.69
    ãĤ»
    -0.69
    EStreamFrame
    -0.68
    cffffcc
    -0.67
    ivated
    -0.67
    elta
    -0.67
    option
    -0.66
    POSITIVE LOGITS
     everything
    0.87
     nobody
    0.84
     everyone
    0.84
     everybody
    0.82
     they
    0.80
     that
    0.79
     we
    0.76
     there
    0.75
     nothing
    0.70
     you
    0.67
    Activations Density 0.043%

    No Known Activations