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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    the word "Brook" occurring at different positions in a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Brook" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conspicuous
    -0.73
    ña
    -0.72
     lockout
    -0.70
     habitable
    -0.66
    UME
    -0.66
    ntil
    -0.65
    arily
    -0.65
     inflated
    -0.64
     defective
    -0.64
    olkien
    -0.63
    POSITIVE LOGITS
    haven
    1.39
     Brook
    1.25
    Brook
    1.19
    brook
    1.16
    bridge
    1.01
    dale
    0.98
    er
    0.97
    lyn
    0.94
    combe
    0.92
    hurst
    0.91
    Activations Density 0.007%

    No Known Activations