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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. 4-RES-JB
    11. 10386
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    Explanations

    mentions of images with corresponding credits

    oai_token-act-pair · gpt-3.5-turbo

    references to photos and images

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

    No Comments

    Negative Logits
    omore
    -0.79
    «
    -0.72
     answ
    -0.71
    stones
    -0.66
    buck
    -0.65
    ©¶æ
    -0.64
    aband
    -0.64
    én
    -0.63
    kees
    -0.62
    ring
    -0.62
    POSITIVE LOGITS
    ONSORED
    0.76
    ATURE
    0.73
    Constructed
    0.71
     Anyway
    0.69
    thumbnails
    0.68
    TPS
    0.68
    ROR
    0.68
     Omar
    0.67
     Caption
    0.65
     Alternatively
    0.65
    Activations Density 0.103%

    No Known Activations