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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. 14522
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    Explanations

    the word "el" with different strengths of activation depending on the context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Mandela" and its variations

    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
    ItemTracker
    -0.96
    displayText
    -0.83
    SourceFile
    -0.72
    CV
    -0.71
     nomine
    -0.71
    éĹĺ
    -0.68
    è»
    -0.67
     Debor
    -0.67
    é¾įå¥ij士
    -0.64
    ĸļ
    -0.63
    POSITIVE LOGITS
    izabeth
    1.09
    baum
    1.00
    ounge
    0.97
    ibrary
    0.95
    ength
    0.92
    oad
    0.89
    ivery
    0.88
    itic
    0.88
    uxe
    0.88
    ter
    0.88
    Activations Density 0.030%

    No Known Activations