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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. 3-RES-JB
    11. 15917
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    Explanations

    phrases related to infrared (IR) technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to infrared (IR) technology and its applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -0.81
    yright
    -0.73
    deck
    -0.69
    intendent
    -0.65
    uyomi
    -0.65
     Minute
    -0.63
    tons
    -0.63
    onym
    -0.62
     Pound
    -0.62
    package
    -0.61
    POSITIVE LOGITS
    oute
    0.94
     absor
    0.79
     absorption
    0.77
    OME
    0.76
    WIN
    0.75
    COLOR
    0.74
    BM
    0.72
    KEN
    0.71
    WIND
    0.69
    OLOG
    0.69
    Activations Density 0.006%

    No Known Activations