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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. 6-RES-JB
    11. 9401
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.74
    ACTED
    -0.66
     Proced
    -0.65
    javascript
    -0.64
    cipled
    -0.64
     concess
    -0.63
    CSS
    -0.59
     procedural
    -0.59
     Wax
    -0.59
    uko
    -0.58
    POSITIVE LOGITS
     Sabha
    0.80
    stad
    0.79
     Lauder
    0.69
    ãĤ¼ãĤ¦ãĤ¹
    0.67
    essen
    0.67
    tarians
    0.66
    weeney
    0.65
    erton
    0.65
     Gaal
    0.64
    lear
    0.63
    Activations Density 0.235%

    No Known Activations