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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. 7-RES-JB
    11. 7796
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    Explanations

    quantitative comparisons or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating quantities that are comparatively low or minimal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hitch
    -0.64
     Tray
    -0.62
     Ek
    -0.61
     Daylight
    -0.61
    alty
    -0.60
    Ô
    -0.59
    OPLE
    -0.59
     extraction
    -0.58
     Supplemental
    -0.57
     eb
    -0.57
    POSITIVE LOGITS
    intendent
    0.79
    astically
    0.74
    lege
    0.69
    amiya
    0.67
    edged
    0.66
    aunt
    0.66
    aunts
    0.65
    enic
    0.63
    !--
    0.63
    =>
    0.62
    Activations Density 0.015%

    No Known Activations