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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. 13078
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    Explanations

    keywords related to documents or documentation, especially focusing on the word "doc"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to documentation and references

    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
    ynchronous
    -0.73
     Rings
    -0.71
     Optical
    -0.71
    crow
    -0.71
     Coul
    -0.71
     telecommunications
    -0.70
    asso
    -0.70
    borne
    -0.68
    ibo
    -0.68
    terson
    -0.67
    POSITIVE LOGITS
     doc
    3.37
     docs
    2.53
     flo
    1.07
     gist
    1.04
     pts
    1.01
     nat
    0.99
     vet
    0.99
     vert
    0.98
     guid
    0.97
    Doc
    0.96
    Activations Density 0.027%

    No Known Activations