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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. 11243
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    Explanations

    phrases related to acceptance or adjustment to a situation or condition

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing acceptance or coming to terms with situations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    gee
    -0.75
    jun
    -0.70
     Sau
    -0.67
     perish
    -0.67
     Brus
    -0.67
     Chao
    -0.63
    sha
    -0.62
     bots
    -0.60
     Daw
    -0.59
     flown
    -0.59
    POSITIVE LOGITS
    omething
    0.87
     ABOUT
    0.85
    externalActionCode
    0.81
    edIn
    0.76
     emotionally
    0.75
    Compat
    0.74
    Oracle
    0.73
     regarding
    0.73
     WHY
    0.72
    Question
    0.72
    Activations Density 0.109%

    No Known Activations