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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. 11-RES-JB
    11. 5665
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    INDEX
    Explanations

    names of people and locations, potentially related to historical events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "would"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bounty
    -0.62
    RD
    -0.62
     Dunham
    -0.61
     Kag
    -0.59
    è¦ļéĨĴ
    -0.58
    Lim
    -0.57
    works
    -0.57
     Sci
    -0.56
    amps
    -0.55
    umenthal
    -0.55
    POSITIVE LOGITS
     later
    1.26
     doubtless
    1.10
    've
    1.07
     eventually
    1.04
     soon
    0.94
    soon
    0.93
    later
    0.91
     emerge
    0.91
     suffice
    0.90
     subsequently
    0.89
    Activations Density 0.151%

    No Known Activations