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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. 4871
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    Explanations

    technical specifications related to computing, such as bits and operating systems

    oai_token-act-pair · gpt-3.5-turbo

    the presence of a specific formatting or placeholder in the document

    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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    No Comments

    Negative Logits
    akening
    -0.86
    ItemTracker
    -0.78
    isoft
    -0.75
    vati
    -0.74
    aken
    -0.74
    atism
    -0.73
    atis
    -0.72
    ĸļ
    -0.70
    akens
    -0.70
    raints
    -0.69
    POSITIVE LOGITS
    00
    0.95
    LECT
    0.94
    rd
    0.83
    backer
    0.81
    nd
    0.77
    inately
    0.75
    ijk
    0.75
    ency
    0.75
    dfx
    0.72
    FW
    0.72
    Activations Density 0.099%

    No Known Activations