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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. 3-RES-JB
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    Explanations

    names or terms involving the name "Piet"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly focusing on names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.83
    pmwiki
    -0.81
     sclerosis
    -0.71
    arkable
    -0.71
    etheus
    -0.70
    NetMessage
    -0.69
    heading
    -0.68
    earance
    -0.66
    ldon
    -0.65
    cffffcc
    -0.65
    POSITIVE LOGITS
     Piet
    0.97
    ī
    0.83
    glers
    0.82
    gey
    0.80
    ersen
    0.80
    zen
    0.78
    rix
    0.78
    rats
    0.77
    oleon
    0.77
    rique
    0.73
    Activations Density 0.012%

    No Known Activations