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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. 17663
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    Explanations

    specific references to legal or political contexts

    oai_token-act-pair · gpt-3.5-turbo

    the article "the" in various contexts throughout the text

    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
    milo
    -0.80
    lins
    -0.73
     presided
    -0.73
     fared
    -0.67
    ahime
    -0.67
    ¶
    -0.64
    nir
    -0.64
    hd
    -0.63
    town
    -0.63
    isSpecialOrderable
    -0.63
    POSITIVE LOGITS
     creation
    1.36
     emergence
    1.35
     elimination
    1.25
     removal
    1.25
     possibility
    1.18
     destruction
    1.17
     introduction
    1.16
     formation
    1.16
     issuance
    1.14
     imposition
    1.14
    Activations Density 0.347%

    No Known Activations