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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. 6-RES-JB
    11. 10890
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    Explanations

    references to clothing items, specifically hoods

    oai_token-act-pair · gpt-3.5-turbo

    references to hoods, particularly in relation to clothing or vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.84
    lihood
    -0.82
    tery
    -0.74
    ãĤ´ãĥ³
    -0.72
    andum
    -0.71
    FORM
    -0.70
    ASED
    -0.68
    berman
    -0.67
     Gaul
    -0.66
    vasive
    -0.65
    POSITIVE LOGITS
     hood
    0.94
    skin
    0.94
    oos
    0.92
    tip
    0.92
     ornament
    0.91
    ed
    0.88
    sie
    0.88
    ie
    0.88
    sin
    0.84
    ned
    0.82
    Activations Density 0.027%

    No Known Activations