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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. 0-RES-JB
    11. 7907
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    INDEX
    Explanations

    mentions of the term "mainstream"

    oai_token-act-pair · gpt-3.5-turbo

    the term "mainstream" in relation to media or societal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aea
    -0.79
    peria
    -0.73
    car
    -0.73
    spell
    -0.72
    locks
    -0.70
    amon
    -0.69
    variable
    -0.67
    Spell
    -0.67
    lot
    -0.65
    manship
    -0.64
    POSITIVE LOGITS
     mainstream
    3.50
     mainline
    1.36
     MSM
    1.35
     conventional
    1.28
     orthodox
    1.20
     hardcore
    1.19
     reputable
    1.17
     centrist
    1.10
     respectable
    1.09
     grassroots
    1.09
    Activations Density 0.021%

    No Known Activations