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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. 2-RES-JB
    11. 831
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    INDEX
    Explanations

    instances of the word "focused"

    oai_token-act-pair · gpt-4-turbo

    topics or subjects that are being actively addressed or prioritized

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to concentration or attention on a subject

    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
    anne
    -0.68
    xton
    -0.67
    BIT
    -0.66
    alter
    -0.66
     Julius
    -0.64
    ãĥīãĥ©ãĤ´ãĥ³
    -0.63
    女
    -0.63
    borne
    -0.62
     Upton
    -0.62
    mia
    -0.62
    POSITIVE LOGITS
     focused
    0.98
     foc
    0.97
     focusing
    0.89
     focus
    0.86
    sonian
    0.85
    rals
    0.82
     unfocused
    0.81
     focuses
    0.80
    rontal
    0.78
     IPM
    0.76
    Activations Density 0.018%

    No Known Activations