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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
    11. 12450
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or characters

    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
    ãĥ³ãĤ¸
    -0.85
    gered
    -0.80
    ement
    -0.78
    wal
    -0.75
    inence
    -0.75
    bow
    -0.75
    avan
    -0.74
    rog
    -0.74
    addy
    -0.73
    ple
    -0.73
    POSITIVE LOGITS
     Technician
    0.88
     Rossi
    0.78
    elsius
    0.74
     ATK
    0.73
     Swanson
    0.72
     Morales
    0.72
     technician
    0.70
     Welch
    0.69
    ilver
    0.68
     Luna
    0.67
    Activations Density 0.022%

    No Known Activations