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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. 6-RES-JB
    11. 15503
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    Explanations

    phrases or sentences related to completing or providing information for a task or situation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "fill" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcs
    -0.70
    hawks
    -0.67
     bye
    -0.63
    peer
    -0.61
    Friends
    -0.61
    conduct
    -0.60
    roma
    -0.60
    verbal
    -0.59
    recogn
    -0.59
    wegian
    -0.59
    POSITIVE LOGITS
     vacancies
    0.95
    fill
    0.88
     gaps
    0.87
     fills
    0.86
     fill
    0.85
     coffers
    0.78
    ups
    0.76
     notebooks
    0.75
    lio
    0.75
    ummer
    0.75
    Activations Density 0.029%

    No Known Activations