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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. 12-RES-JB
    11. 3746
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    Explanations

    the word "there" occurring multiple times

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the word "there" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     Achieve
    -0.65
     Submit
    -0.62
     Deliver
    -0.61
     externalToEVAOnly
    -0.60
     Doing
    -0.59
     Browse
    -0.58
     Sending
    -0.58
     Dominion
    -0.56
     Rewards
    -0.56
    SourceFile
    -0.55
    POSITIVE LOGITS
     weren
    1.28
     were
    1.28
    upon
    1.18
     wasn
    1.17
     was
    1.13
    after
    1.10
     seemed
    1.06
    abouts
    1.05
     hadn
    0.99
     ensued
    0.99
    Activations Density 0.087%

    No Known Activations