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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. 5058
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    INDEX
    Explanations

    names of locations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of places and people

    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
     grades
    -0.69
    ologies
    -0.68
     hail
    -0.67
     overdue
    -0.66
     critically
    -0.65
     deviations
    -0.65
     sclerosis
    -0.65
     negatively
    -0.65
     tragic
    -0.64
     jaws
    -0.64
    POSITIVE LOGITS
    stad
    1.25
    liga
    0.96
    rosso
    0.87
    quist
    0.87
    lund
    0.85
    ota
    0.83
    inelli
    0.82
    ovo
    0.80
    ectomy
    0.79
    tsy
    0.78
    Activations Density 0.010%

    No Known Activations