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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. 10-RES-JB
    11. 9948
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    Explanations

    color-related words

    oai_token-act-pair · gpt-3.5-turbo

    references to colors and various social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Legend
    -0.64
    1001
    -0.63
    Operation
    -0.58
    Nav
    -0.56
    ª
    -0.55
    FY
    -0.54
    TOP
    -0.54
    ãĥīãĥ©
    -0.54
    Reloaded
    -0.53
    äºĶ
    -0.53
    POSITIVE LOGITS
     alike
    1.65
     respectively
    1.63
     etc
    1.00
     and
    0.81
     interchange
    0.80
     together
    0.77
     weren
    0.75
     blah
    0.75
     versa
    0.74
     AND
    0.70
    Activations Density 0.351%

    No Known Activations