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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. 11287
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    INDEX
    Explanations

    phrases related to specific types of entities, especially objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    the presence of various subjects or themes across multiple 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
    rehensive
    -0.75
    igan
    -0.67
    obook
    -0.65
    apult
    -0.64
    è¦ļéĨĴ
    -0.64
    zon
    -0.63
    soType
    -0.62
    Alert
    -0.61
    ibe
    -0.61
    escription
    -0.61
    POSITIVE LOGITS
     where
    0.88
     there
    0.88
     however
    0.82
    there
    0.81
    where
    0.79
     whenever
    0.77
     moreover
    0.75
     meanwhile
    0.75
     sometimes
    0.74
     unless
    0.70
    Activations Density 0.235%

    No Known Activations