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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. 8-RES-JB
    11. 23764
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and possibly places or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     à¨
    -0.76
     behavi
    -0.69
    CLASSIFIED
    -0.68
    Reloaded
    -0.67
     IPM
    -0.66
    ccording
    -0.66
     hemor
    -0.65
     mathemat
    -0.65
     behav
    -0.64
     livest
    -0.64
    POSITIVE LOGITS
    len
    0.88
    zon
    0.88
    rod
    0.83
    ley
    0.82
    kowski
    0.81
    row
    0.79
    igan
    0.79
    let
    0.79
    ie
    0.78
    lett
    0.78
    Activations Density 0.241%

    No Known Activations