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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. 9707
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    Explanations

    mentions of religious worship services

    oai_token-act-pair · gpt-3.5-turbo

    articles, particularly the definite and indefinite articles 'a' and 'an'

    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
    Links
    -0.80
    Sources
    -0.80
    Contents
    -0.76
    reports
    -0.75
    evidence
    -0.73
    aci
    -0.71
    Types
    -0.69
    measures
    -0.67
    letters
    -0.67
    Enjoy
    -0.66
    POSITIVE LOGITS
     bunch
    1.15
     particular
    1.10
     lot
    1.10
    rouse
    1.04
     predetermined
    1.01
    uras
    0.99
     multitude
    0.98
     plethora
    0.97
     certain
    0.96
     whole
    0.94
    Activations Density 0.589%

    No Known Activations