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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. 9-RES-JB
    11. 4767
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    Explanations

    titles or headings containing the word "Introduction"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of "Introduction" and similar introductory phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rio
    -0.79
    rone
    -0.78
    rage
    -0.75
    rice
    -0.67
    ike
    -0.66
     streaks
    -0.66
     sclerosis
    -0.65
    rie
    -0.65
     successors
    -0.63
     ambul
    -0.62
    POSITIVE LOGITS
    spection
    1.09
     thereto
    1.00
    matter
    0.99
    ctory
    0.84
    spective
    0.82
     Jav
    0.80
    ptions
    0.76
    hetical
    0.75
    plates
    0.74
    ////
    0.69
    Activations Density 0.056%

    No Known Activations