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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. 5189
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    Explanations

    words associated with actions or tasks that require careful planning or execution

    oai_token-act-pair · gpt-3.5-turbo

    terms related to action items or activities

    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
    osuke
    -0.76
     suppose
    -0.71
    href
    -0.63
     COURT
    -0.61
     anchored
    -0.60
    initions
    -0.60
    },"
    -0.57
    soDeliveryDate
    -0.57
     fasc
    -0.56
    Enlarge
    -0.55
    POSITIVE LOGITS
    lessly
    1.11
    ulate
    0.92
    matically
    0.89
    uate
    0.88
    rily
    0.85
    ishly
    0.84
    ibly
    0.82
    ually
    0.81
    istically
    0.80
    arily
    0.77
    Activations Density 0.421%

    No Known Activations