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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. 8-RES-JB
    11. 14219
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    Explanations

    text related to social media and posting content online

    oai_token-act-pair · gpt-3.5-turbo

    references to media and storytelling elements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.90
    rir
    -0.89
    æ³
    -0.86
    Mach
    -0.83
     Bulgar
    -0.83
    bush
    -0.82
    ãĥ´ãĤ¡
    -0.81
    wana
    -0.75
    ugal
    -0.74
    ãĥĸ
    -0.74
    POSITIVE LOGITS
     photograph
    1.02
     Photo
    1.02
     screenshot
    1.00
     picture
    0.99
     photo
    0.99
     Photograph
    0.97
     dialogue
    0.96
     dialog
    0.96
     text
    0.96
     diary
    0.95
    Activations Density 0.485%

    No Known Activations