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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. 4-RES-JB
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    Explanations

    mentions of skateboarding activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uments
    -0.78
     circumst
    -0.67
    icable
    -0.67
     Heller
    -0.64
     Centauri
    -0.63
    âķIJâķIJ
    -0.62
    ertain
    -0.62
    orthern
    -0.61
    clusively
    -0.60
     Cain
    -0.60
    POSITIVE LOGITS
    boarding
    1.42
    board
    1.25
     rink
    1.15
    boards
    1.08
     skating
    1.02
     skate
    0.96
    park
    0.92
     Instruct
    0.84
     sk
    0.84
    weed
    0.83
    Activations Density 0.010%

    No Known Activations