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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. 11-RES-JB
    11. 1063
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    Explanations

    terms related to project management and construction activities

    oai_token-act-pair · gpt-3.5-turbo

    discussions surrounding schedules and project timelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    channelAvailability
    -0.87
     Qué
    -0.84
    prises
    -0.79
     Wen
    -0.77
    ère
    -0.75
    Han
    -0.74
     Huawei
    -0.71
    arte
    -0.71
    ONT
    -0.70
     Coy
    -0.69
    POSITIVE LOGITS
     Sl
    2.48
    Sl
    2.34
     SL
    2.11
    sl
    2.09
     sl
    1.98
    SL
    1.77
     Slug
    1.64
     Slip
    1.57
     Slater
    1.51
     slab
    1.47
    Activations Density 0.227%

    No Known Activations