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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 12902
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    Explanations

    television-related terms, particularly networks or news organizations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the acronym "TV" in various contexts related to television

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

    No Comments

    Negative Logits
    leans
    -0.68
    cific
    -0.67
    hot
    -0.66
    0000000000000000
    -0.65
    ometric
    -0.64
    tha
    -0.64
    hammad
    -0.63
    ibel
    -0.62
    reci
    -0.61
    strument
    -0.61
    POSITIVE LOGITS
    ILLE
    1.30
     Everywhere
    0.92
    trop
    0.82
    NG
    0.82
    iolet
    0.80
    PG
    0.77
    ISION
    0.77
    ideo
    0.77
     Trop
    0.76
     Broadcasting
    0.75
    Activations Density 0.016%

    No Known Activations