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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. 9-RES-JB
    11. 8881
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    Explanations

    descriptions related to volumes or sizes of physical objects

    oai_token-act-pair · gpt-3.5-turbo

    quantitative information related to space and dimensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.76
    avior
    -0.75
     behaviors
    -0.71
    ometime
    -0.71
     afterward
    -0.71
    duration
    -0.71
    iversary
    -0.68
    ogenesis
    -0.68
    estern
    -0.67
     ______
    -0.67
    POSITIVE LOGITS
     neighbours
    1.07
     Ukip
    1.00
     neighbour
    0.98
     Tories
    0.97
     favourites
    0.96
     rivals
    0.96
     £
    0.96
     favour
    0.96
     Midlands
    0.95
     neighbouring
    0.95
    Activations Density 1.441%

    No Known Activations