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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. 8200
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    Explanations

    mentions of web links or internet references

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Inf" with varying contexts

    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
     Rae
    -0.69
    âĸ¬
    -0.66
    âķIJâķIJ
    -0.66
    BOOK
    -0.65
     Canary
    -0.63
    ãĤ¬
    -0.62
     QC
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
     Weir
    -0.62
     Boll
    -0.60
    POSITIVE LOGITS
    rared
    1.47
    iltration
    1.40
    inity
    1.36
    rastructure
    1.36
    lamm
    1.34
    licted
    1.33
    luence
    1.32
    inite
    1.25
    ertility
    1.25
    licts
    1.23
    Activations Density 0.012%

    No Known Activations