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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. 4-RES-JB
    11. 11333
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    Explanations

    links or prompts to view external content like videos

    oai_token-act-pair · gpt-3.5-turbo

    references to video viewing actions

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

    No Comments

    Negative Logits
     Prelude
    -0.77
    wagen
    -0.75
    wives
    -0.75
    etheless
    -0.73
    writers
    -0.72
    tested
    -0.70
     Amb
    -0.69
    roots
    -0.66
    arthed
    -0.66
    pas
    -0.66
    POSITIVE LOGITS
     URL
    0.78
    Brow
    0.77
     enlarge
    0.75
     link
    0.75
     enlarg
    0.74
     button
    0.73
     queue
    0.71
     url
    0.71
     click
    0.70
     securely
    0.70
    Activations Density 0.158%

    No Known Activations