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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. 7-RES-JB
    11. 19064
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    Explanations

    images or visual descriptions that show specific scenes or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate visual representations or illustrations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EEE
    -0.86
    oslav
    -0.70
    bury
    -0.70
    aceutical
    -0.69
    pton
    -0.69
    youtube
    -0.69
    tymology
    -0.68
    iche
    -0.68
    rete
    -0.66
    ilings
    -0.65
    POSITIVE LOGITS
    runners
    1.01
    ered
    1.01
    biz
    0.90
    rooms
    0.88
     signs
    0.82
     prominently
    0.82
     similarities
    0.81
    downs
    0.79
     flashes
    0.77
    runner
    0.77
    Activations Density 0.063%

    No Known Activations