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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. 1-RES-JB
    11. 18056
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    Explanations

    phrases related to capturing or getting hold of something

    oai_token-act-pair · gpt-3.5-turbo

    iterations of the word "catch."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.89
    uilt
    -0.83
     nomine
    -0.77
     prosec
    -0.77
     contem
    -0.75
     administ
    -0.74
     millenn
    -0.74
    ¥ŀ
    -0.73
    adian
    -0.72
    htar
    -0.72
    POSITIVE LOGITS
    phrase
    0.91
    aways
    0.88
    ãĥĥãĥī
    0.84
    catch
    0.82
    ãĤ¤
    0.82
    backs
    0.81
     catch
    0.80
    bowl
    0.79
    ãĥ³
    0.78
     Catch
    0.78
    Activations Density 0.008%

    No Known Activations