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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. 3-RES-JB
    11. 22936
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    Explanations

    numerical values associated with dimensions, especially width

    oai_token-act-pair · gpt-3.5-turbo

    dimensions and measurements related to width and height

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plet
    -0.81
    andum
    -0.79
    OTA
    -0.70
    ovie
    -0.67
    zie
    -0.67
    ruption
    -0.66
    plets
    -0.65
    perty
    -0.65
    onto
    -0.64
    ón
    -0.64
    POSITIVE LOGITS
    sheet
    0.95
     width
    0.94
    width
    0.91
     Width
    0.90
    sheets
    0.89
    span
    0.82
    sburg
    0.80
    sd
    0.79
    ï¸
    0.79
    restling
    0.78
    Activations Density 0.015%

    No Known Activations