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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. 6-RES-JB
    11. 2978
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    Explanations

    words related to planning and organization

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to planning and organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    govtrack
    -0.72
    ér
    -0.67
    otten
    -0.66
    PLIED
    -0.66
    vine
    -0.65
    ved
    -0.64
    icient
    -0.64
    terness
    -0.64
    ensis
    -0.63
    rite
    -0.63
    POSITIVE LOGITS
     ACTIONS
    1.02
     itiner
    0.88
     deployment
    0.77
     contingency
    0.76
     trip
    0.75
     evacuation
    0.75
     rollout
    0.73
     future
    0.73
     events
    0.73
     seating
    0.71
    Activations Density 0.345%

    No Known Activations