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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. 3789
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    INDEX
    Explanations

    words related to excitement or intensity

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement

    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
    externalActionCode
    -0.65
     symbolic
    -0.63
     Sachs
    -0.62
     enriched
    -0.58
     downhill
    -0.58
     unspecified
    -0.58
     Beyond
    -0.58
     edge
    -0.58
     und
    -0.57
     unfinished
    -0.57
    POSITIVE LOGITS
    ursion
    1.51
    ursions
    1.49
    usable
    1.38
    itement
    1.23
    ulp
    1.16
    ipient
    1.15
    itable
    1.15
    itability
    1.15
    using
    1.14
    ori
    1.13
    Activations Density 0.031%

    No Known Activations