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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. 0-RES-JB
    11. 20170
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    Explanations

    words related to scheduling and organization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scheduling and staffing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avez
    -0.83
    oir
    -0.81
     penetrated
    -0.81
     Aur
    -0.75
    apore
    -0.74
    uckles
    -0.72
     pier
    -0.69
     penet
    -0.69
    oufl
    -0.68
     Moj
    -0.68
    POSITIVE LOGITS
     scheduling
    3.11
     staffing
    2.20
     sched
    1.55
     pacing
    1.51
     outsourcing
    1.38
     Sched
    1.20
     rounding
    1.19
     clust
    1.19
     scaling
    1.15
     booking
    1.13
    Activations Density 0.049%

    No Known Activations