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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. 13744
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    Explanations

    images or descriptions of shirts being worn or mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to shirts, particularly in various contexts

    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
    audi
    -0.72
    yrinth
    -0.69
    judicial
    -0.68
    ntil
    -0.66
     satellites
    -0.65
    ths
    -0.63
    20439
    -0.62
    ruciating
    -0.62
    sys
    -0.61
    ITED
    -0.61
    POSITIVE LOGITS
    shirt
    1.16
    leeve
    1.14
     sleeve
    1.08
     shirts
    1.06
    shirts
    1.05
    hirt
    1.04
     sleeves
    1.01
     shirt
    0.99
    cloth
    0.96
    pins
    0.94
    Activations Density 0.022%

    No Known Activations