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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. 6815
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of people associated with political contexts

    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
    glers
    -0.71
    caps
    -0.65
    ascus
    -0.65
    awed
    -0.64
    ankind
    -0.63
    invoke
    -0.63
    wcs
    -0.61
    WT
    -0.61
    lif
    -0.60
    auga
    -0.60
    POSITIVE LOGITS
    ement
    0.73
    OLD
    0.71
     Awakening
    0.67
    ondo
    0.64
    itect
    0.63
    omaly
    0.63
    agos
    0.63
    ansas
    0.63
    ICT
    0.62
    INO
    0.62
    Activations Density 0.094%

    No Known Activations