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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. 6-RES-JB
    11. 20691
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    INDEX
    Explanations

    phrases with the abbreviation "LE" with various levels of importance or urgency

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the acronym "LE" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilities
    -0.94
    ãĥ¼ãĥĨãĤ£
    -0.87
    orial
    -0.85
    ̶
    -0.84
    oulos
    -0.80
    raints
    -0.78
    ovych
    -0.77
    papers
    -0.77
    ãĤ¢ãĥ«
    -0.75
    Downloadha
    -0.75
    POSITIVE LOGITS
    IGH
    1.01
    VEL
    1.01
    utenant
    0.89
    lean
    0.88
    VEN
    0.79
    ttes
    0.79
    TT
    0.77
    OVER
    0.77
    WARE
    0.76
    TE
    0.76
    Activations Density 0.030%

    No Known Activations