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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. 18608
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    Explanations

    phrases that describe characteristics or attributes

    oai_token-act-pair · gpt-3.5-turbo

    the verb "are" 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
    west
    -0.89
    luaj
    -0.83
    isine
    -0.75
    culosis
    -0.74
    ONSORED
    -0.72
    090
    -0.69
    dt
    -0.68
    \\\\\\\\
    -0.68
    aye
    -0.67
    evaluate
    -0.66
    POSITIVE LOGITS
     notoriously
    1.21
     typically
    1.07
     inherently
    1.04
     plentiful
    1.02
     symbols
    1.02
     relics
    1.00
     magnets
    1.00
     prolifer
    1.00
     ubiquitous
    1.00
     everywhere
    1.00
    Activations Density 0.188%

    No Known Activations