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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. 9896
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    Explanations

    references related to personal history and experiences

    oai_token-act-pair · gpt-3.5-turbo

    themes related to personal struggles and tragedies

    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
    eware
    -0.66
    regate
    -0.63
    rive
    -0.62
    arantine
    -0.60
     recycle
    -0.58
     contiguous
    -0.58
     MID
    -0.58
     Pipeline
    -0.58
     staffed
    -0.56
     MAP
    -0.56
    POSITIVE LOGITS
     his
    0.83
    His
    0.80
     persona
    0.78
     charisma
    0.77
     he
    0.77
     himself
    0.73
     hers
    0.73
    his
    0.73
     humility
    0.68
    Interview
    0.68
    Activations Density 1.299%

    No Known Activations