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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. 11-RES-JB
    11. 13695
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    INDEX
    Explanations

    numerical or quantifiable indications of quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "some" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gon
    -0.70
    vid
    -0.66
    iquette
    -0.65
    justice
    -0.62
    eworld
    -0.62
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.61
    ulet
    -0.59
    acted
    -0.59
    meet
    -0.59
    separ
    -0.58
    POSITIVE LOGITS
     600
    1.13
     200
    1.13
     250
    1.11
     400
    1.10
     800
    1.10
     300
    1.09
     700
    1.08
     450
    1.05
     850
    1.04
     150
    1.04
    Activations Density 0.095%

    No Known Activations