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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. 9-RES-JB
    11. 16413
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    Explanations

    references to historical events or locations

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" and its variants in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     priced
    -0.72
    DoS
    -0.72
    fox
    -0.71
    ICO
    -0.70
    Continue
    -0.69
    walker
    -0.68
    kids
    -0.68
     hashtag
    -0.66
    CTV
    -0.65
     PLEASE
    -0.65
    POSITIVE LOGITS
     accordance
    1.23
     spite
    1.13
     1904
    1.11
     1905
    1.09
     antiquity
    1.09
     1919
    1.08
     1917
    1.08
     1937
    1.08
     1935
    1.07
     1909
    1.07
    Activations Density 0.307%

    No Known Activations