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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. 1-RES-JB
    11. 324
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    Explanations

    references to images or photographs

    oai_token-act-pair · gpt-3.5-turbo

    references to pictures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rane
    -0.75
    endez
    -0.72
    cffff
    -0.69
    iant
    -0.68
    yna
    -0.67
    ajor
    -0.66
    ggles
    -0.66
    acia
    -0.66
    amily
    -0.66
    edient
    -0.65
    POSITIVE LOGITS
    picture
    1.27
     picture
    1.12
     Picture
    1.09
    >>>>>>>>
    0.92
    Picture
    0.91
     Painting
    0.78
     mosa
    0.78
    Pic
    0.76
     mosaic
    0.76
    lihood
    0.74
    Activations Density 0.014%

    No Known Activations