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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. 383
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    INDEX
    Explanations

    phrases related to scheduled events or appearances

    oai_token-act-pair · gpt-3.5-turbo

    mentions of scheduled events or appointments

    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
    ochet
    -0.69
    tro
    -0.66
    bery
    -0.66
    usional
    -0.65
    aws
    -0.64
    asi
    -0.64
    bour
    -0.63
    igans
    -0.63
    bert
    -0.63
    stocks
    -0.63
    POSITIVE LOGITS
     Parenthood
    1.18
    dule
    0.89
     appointments
    0.81
     screenings
    0.78
     satell
    0.77
     meetings
    0.75
     meals
    0.74
     vacations
    0.72
    uled
    0.71
     scheduled
    0.70
    Activations Density 0.028%

    No Known Activations