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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. 8-RES-JB
    11. 13045
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    INDEX
    Explanations

    phrases related to technology and electronic devices, such as computer parts and brand names

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to locations and physical objects

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     nonetheless
    -0.67
    ocre
    -0.60
     accordingly
    -0.59
    spoken
    -0.58
    oeuv
    -0.58
     consequences
    -0.57
    ographical
    -0.56
    ando
    -0.56
    reditary
    -0.56
    udos
    -0.55
    POSITIVE LOGITS
     GS
    0.72
     Summoner
    0.69
     Vale
    0.66
     Pillar
    0.63
     Normandy
    0.62
     Ago
    0.58
     Towns
    0.58
     SOS
    0.58
     Vend
    0.58
     PTS
    0.58
    Activations Density 1.506%

    No Known Activations