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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. 3-RES-JB
    11. 20015
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    Explanations

    terms related to specialized skills, equipment, or topics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specialization and specific expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iPhone
    -0.82
    runner
    -0.80
    Jesus
    -0.75
    corn
    -0.74
    Marcus
    -0.74
    flies
    -0.74
    bows
    -0.72
    down
    -0.71
    à¥
    -0.70
    Snap
    -0.70
    POSITIVE LOGITS
     specialized
    1.02
    ategory
    1.01
     minded
    0.96
     satell
    0.90
     detach
    0.84
     proble
    0.82
     apparatus
    0.80
     capacities
    0.80
     municip
    0.79
     warr
    0.79
    Activations Density 0.022%

    No Known Activations