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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to a specific location named "Laguna."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Lag" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.94
    theless
    -0.88
    IBLE
    -0.87
    terday
    -0.84
    mble
    -0.76
    éĹĺ
    -0.71
    ãĤ¼ãĤ¦ãĤ¹
    -0.71
    ãĥ¯ãĥ³
    -0.67
    kHz
    -0.67
    Jane
    -0.67
    POSITIVE LOGITS
     Lag
    1.12
    arde
    1.00
    una
    1.00
    oon
    0.98
    rang
    0.95
    unit
    0.95
    omorph
    0.89
    lag
    0.88
    wagon
    0.87
    opa
    0.85
    Activations Density 0.008%

    No Known Activations