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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. 2772
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    Explanations

    professional groups or organizations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various professional and occupational groups or associations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    worms
    -0.68
    efully
    -0.62
    worm
    -0.62
    river
    -0.59
     Bezos
    -0.59
    icity
    -0.59
    verts
    -0.59
    MENTS
    -0.58
    ris
    -0.58
    ASED
    -0.58
    POSITIVE LOGITS
    hip
    1.46
    '
    1.23
     Guild
    1.19
    hips
    1.19
     Association
    1.17
    paces
    1.14
    pace
    1.13
    ']
    1.06
     Associ
    1.03
    kaya
    1.02
    Activations Density 0.280%

    No Known Activations