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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. 11-RES-JB
    11. 18586
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    Explanations

    references to high-definition (HD) video quality

    oai_token-act-pair · gpt-3.5-turbo

    references to high-definition (HD) video quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.82
    notations
    -0.80
    ingen
    -0.79
    alties
    -0.70
    kson
    -0.70
    udence
    -0.69
    ccoli
    -0.69
    ername
    -0.68
    ãĥĦ
    -0.67
    etta
    -0.66
    POSITIVE LOGITS
    TV
    1.12
    Ds
    1.05
    PE
    0.95
    CP
    0.89
    VA
    0.83
    RI
    0.82
    4000
    0.81
    MI
    0.81
    447
    0.81
    FS
    0.78
    Activations Density 0.034%

    No Known Activations