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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. 19975
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    text between Ċ symbols

    oai_token-act-pair · gpt-3.5-turbo

    instances of emotional expressions or sentiments

    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
    atism
    -0.70
     Atomic
    -0.65
    ptions
    -0.64
     turnover
    -0.63
     basic
    -0.60
    odcast
    -0.59
     BAT
    -0.58
     significantly
    -0.58
    ogi
    -0.58
     McMaster
    -0.57
    POSITIVE LOGITS
    Cause
    0.93
     Shall
    0.82
    Unt
    0.81
    cause
    0.80
    Were
    0.79
    And
    0.78
    ORN
    0.77
     Surely
    0.75
     Till
    0.74
     Norn
    0.73
    Activations Density 0.097%

    No Known Activations