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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. 7-RES-JB
    11. 17174
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    Explanations

    phrases related to online content or marketing, with a focus on preparing for a specific topic or event

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and special characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quart
    -0.71
    âĢij
    -0.68
    atlantic
    -0.65
     mir
    -0.64
    ±
    -0.63
     greenhouse
    -0.62
    rael
    -0.61
    form
    -0.61
    born
    -0.60
    parser
    -0.59
    POSITIVE LOGITS
     Lastly
    1.13
     Finally
    1.09
     Same
    1.02
     Whenever
    1.02
     Another
    1.00
     Exactly
    0.98
     Though
    0.98
     Whoever
    0.98
     Usually
    0.97
     Despite
    0.97
    Activations Density 0.262%

    No Known Activations