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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. 4-RES-JB
    11. 22568
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    Explanations

    phrases related to gaining understanding or knowledge

    oai_token-act-pair · gpt-3.5-turbo

    references to gaining insight or understanding in various contexts

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

    No Comments

    Negative Logits
    ategory
    -0.67
     disbanded
    -0.65
     fuss
    -0.62
     notor
    -0.61
    annis
    -0.61
     destruct
    -0.61
     shr
    -0.59
    ony
    -0.58
    yss
    -0.57
    onies
    -0.56
    POSITIVE LOGITS
    ively
    1.00
    ibility
    0.93
    fully
    0.90
     glean
    0.90
     insight
    0.89
     insights
    0.88
    spection
    0.85
    ibly
    0.82
    spective
    0.81
    ible
    0.80
    Activations Density 0.019%

    No Known Activations