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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. 8354
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    Explanations

    references to cell phones

    oai_token-act-pair · gpt-3.5-turbo

    references to cellular devices, specifically cell phones

    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
    Downloadha
    -0.85
    xual
    -0.79
    merce
    -0.79
    ignty
    -0.75
    luster
    -0.73
    ãĥ¤
    -0.70
    olulu
    -0.70
    lift
    -0.69
    urities
    -0.67
    laus
    -0.67
    POSITIVE LOGITS
    phones
    1.13
     cell
    1.02
     phones
    0.92
     cells
    0.92
    icides
    0.90
     phone
    0.84
    cell
    0.82
    mate
    0.82
    icide
    0.81
    ular
    0.80
    Activations Density 0.014%

    No Known Activations