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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. 23244
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    INDEX
    Explanations

    proper nouns of locations and names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals and groups 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
    estones
    -0.67
    ovember
    -0.64
     halves
    -0.62
    overs
    -0.62
    itu
    -0.59
    ounces
    -0.58
     surrog
    -0.57
    dollar
    -0.56
    lly
    -0.56
     gist
    -0.56
    POSITIVE LOGITS
    who
    1.52
     who
    1.52
    whose
    1.38
     whose
    1.37
     whom
    1.16
     Who
    1.09
    Who
    1.07
     which
    1.00
     WHO
    0.95
     where
    0.92
    Activations Density 0.223%

    No Known Activations