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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. 18782
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    Explanations

    phrases that are emphasized with quotation marks

    oai_token-act-pair · gpt-3.5-turbo
    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
     Ross
    -0.78
     XL
    -0.77
     XI
    -0.77
     Isaac
    -0.76
     Mehran
    -0.76
     rall
    -0.75
     reel
    -0.75
     chant
    -0.74
     Creator
    -0.73
     Amar
    -0.73
    POSITIVE LOGITS
    significant
    1.78
    multiple
    1.68
    serious
    1.66
    many
    1.65
    very
    1.62
    extremely
    1.61
    sever
    1.60
    reasonable
    1.60
    certain
    1.60
    extra
    1.58
    Activations Density 0.134%

    No Known Activations