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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. 14391
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    Explanations

    names of historical figures

    oai_token-act-pair · gpt-3.5-turbo

    historical names and events, specifically related to notable figures and significant occurrences

    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
     analys
    -0.80
    alys
    -0.77
     organising
    -0.75
     neighbour
    -0.75
     neighbours
    -0.72
     analyse
    -0.71
     counselling
    -0.69
     enqu
    -0.68
     modelling
    -0.68
     organise
    -0.67
    POSITIVE LOGITS
    ®,
    0.83
    ®
    0.65
    Columb
    0.63
     Jefferson
    0.62
     1969
    0.62
     Boone
    0.60
     1965
    0.59
     Madison
    0.59
     1966
    0.58
     Franklin
    0.57
    Activations Density 1.816%

    No Known Activations