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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. 3-RES-JB
    11. 13544
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    Explanations

    references to discussions, affiliations, or behaviors related to consumers or groups of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of "consensus" and related ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WOOD
    -0.74
     horses
    -0.70
     Pegasus
    -0.64
    dogs
    -0.64
    WAY
    -0.63
    ILLE
    -0.63
     Cyrus
    -0.62
    Tur
    -0.61
     Bulgar
    -0.61
     Stro
    -0.61
    POSITIVE LOGITS
    umers
    1.22
    ervatives
    1.18
    ensus
    1.16
    cientious
    1.14
    ensual
    1.14
    piracy
    1.13
    erv
    1.04
    istent
    1.04
    cription
    1.04
    idered
    1.03
    Activations Density 0.008%

    No Known Activations