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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. 7146
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    Explanations

    words related to pre-eminence or preparation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to preeminence and its derivatives

    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
    =-=-=-=-=-=-=-=-
    -0.94
    =-=-=-=-
    -0.79
    ãĥīãĥ©ãĤ´ãĥ³
    -0.72
    mens
    -0.72
     eminent
    -0.70
     Woodward
    -0.64
    Lago
    -0.63
    ãĥ´
    -0.63
    witch
    -0.63
    ãĤ´ãĥ³
    -0.62
    POSITIVE LOGITS
    atural
    0.99
    requisite
    0.92
    ptive
    0.91
    existing
    0.89
    requisites
    0.88
    empt
    0.82
    aphael
    0.82
    isites
    0.81
    atal
    0.80
    itious
    0.79
    Activations Density 0.083%

    No Known Activations