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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
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    Explanations

    references to skateboarding activities

    oai_token-act-pair · gpt-3.5-turbo

    references to skateboarding and skating activities

    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
    uments
    -0.72
     circumst
    -0.72
    âķIJâķIJ
    -0.69
    ourke
    -0.65
    orthern
    -0.64
     terrestrial
    -0.62
     Heller
    -0.62
    ============
    -0.61
     qualitative
    -0.60
    ication
    -0.59
    POSITIVE LOGITS
    boarding
    1.37
    board
    1.18
     rink
    1.15
    boards
    1.03
     skating
    0.97
     skate
    0.97
    istani
    0.93
    deck
    0.83
    park
    0.83
     sk
    0.82
    Activations Density 0.008%

    No Known Activations