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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 2444
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    Explanations

    proper nouns related to individuals' names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    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
     partName
    -0.89
    */(
    -0.88
    ctic
    -0.76
    teness
    -0.76
    ãĤ´ãĥ³
    -0.75
    ctica
    -0.74
    ãĥ´ãĤ¡
    -0.74
     Genie
    -0.73
    gdala
    -0.72
    nesota
    -0.72
    POSITIVE LOGITS
     Wick
    1.22
    lund
    0.82
    cliffe
    0.79
    combe
    0.79
    nesses
    0.78
    ness
    0.77
    nir
    0.76
    layer
    0.76
    sworth
    0.74
    lad
    0.73
    Activations Density 0.011%

    No Known Activations