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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. 8-RES-JB
    11. 2297
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    INDEX
    Explanations

    phrases indicating a transition or change in action or circumstances

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Having" at different activation levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utz
    -0.72
    ère
    -0.69
    rez
    -0.67
    bal
    -0.66
    age
    -0.65
    except
    -0.65
    ansky
    -0.64
    hyde
    -0.63
    unda
    -0.62
    /$
    -0.62
    POSITIVE LOGITS
     immersed
    0.72
     hindsight
    0.70
     aside
    0.69
     mindful
    0.64
    ipolar
    0.59
     unsure
    0.59
     disclaimer
    0.58
     Seen
    0.58
     quizz
    0.57
    Term
    0.57
    Activations Density 0.090%

    No Known Activations