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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. 0-RES-JB
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    Explanations

    the single word "krill"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Terral."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     comparison
    -0.66
     Princ
    -0.65
     Union
    -0.64
     static
    -0.62
     spe
    -0.61
     diabetic
    -0.61
     Comparison
    -0.61
     microsc
    -0.60
     unatt
    -0.60
     Prem
    -0.58
    POSITIVE LOGITS
    rill
    4.84
    ril
    1.74
    rone
    1.42
    rils
    1.24
    rus
    1.23
    rice
    1.14
    rive
    1.09
    rand
    1.08
    rush
    1.08
    rag
    1.07
    Activations Density 0.030%

    No Known Activations