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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. 908
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    Explanations

    instances of the word "extra" followed by a number indicating the strength of emphasis or quantity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "extra" and its variations

    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
    \\\\\\\\
    -0.80
     Cosponsors
    -0.78
    theless
    -0.75
    hip
    -0.71
    %]
    -0.70
    geries
    -0.70
     CrossRef
    -0.70
    NING
    -0.66
     Brist
    -0.65
    sein
    -0.65
    POSITIVE LOGITS
    ordinary
    1.30
    judicial
    1.24
    verted
    0.98
     precaution
    0.91
     virgin
    0.90
    veh
    0.89
     extras
    0.86
     goodies
    0.85
    visor
    0.82
    ngth
    0.81
    Activations Density 0.014%

    No Known Activations