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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. 9-RES-JB
    11. 16340
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    Explanations

    technical terms related to infrared technology

    oai_token-act-pair · gpt-3.5-turbo

    references 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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ufact
    -0.76
    ifest
    -0.75
    ciating
    -0.70
    ethe
    -0.66
    alter
    -0.64
    chant
    -0.64
    onym
    -0.64
    still
    -0.63
    imity
    -0.62
    jad
    -0.62
    POSITIVE LOGITS
    FU
    1.05
    WIN
    0.96
    CLE
    0.96
    CU
    0.88
    MED
    0.84
    WIND
    0.83
    UV
    0.82
    KEN
    0.80
    OME
    0.80
    ACY
    0.80
    Activations Density 0.027%

    No Known Activations