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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. 15824
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    Explanations

    words related to gaining traction or progress

    oai_token-act-pair · gpt-3.5-turbo

    words related to gaining influence or impact

    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
    elf
    -0.71
    arl
    -0.65
    abad
    -0.65
    mas
    -0.64
    ata
    -0.64
     annex
    -0.64
    abel
    -0.63
    gov
    -0.63
    pak
    -0.61
    gb
    -0.61
    POSITIVE LOGITS
     traction
    3.64
     foothold
    1.45
     momentum
    1.44
     friction
    1.32
     footing
    1.25
     leverage
    1.20
     mileage
    1.17
     visibility
    1.13
     propulsion
    1.10
     tread
    1.10
    Activations Density 0.013%

    No Known Activations