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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. 7-RES-JB
    11. 1810
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    Explanations

    proper nouns or named entities

    oai_token-act-pair · gpt-3.5-turbo

    the word "was" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IMAGES
    -0.76
    onic
    -0.69
     Submit
    -0.67
     Current
    -0.67
    has
    -0.66
    arta
    -0.66
     LAT
    -0.63
    Make
    -0.62
    stand
    -0.62
     Extend
    -0.61
    POSITIVE LOGITS
     unclear
    1.19
     raining
    1.06
     impossible
    0.99
     inevitable
    0.95
     easier
    0.89
     imperative
    0.88
     evident
    0.88
     worth
    0.87
     rumored
    0.87
     fortunate
    0.87
    Activations Density 0.089%

    No Known Activations