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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. 7-RES-JB
    11. 21714
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    Explanations

    words related to specific events or actions, such as "battle" or "design"

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to locations, events, and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ones
    -0.75
    paces
    -0.75
     Characters
    -0.74
    tics
    -0.74
     Tanks
    -0.73
    nces
    -0.73
    hops
    -0.72
    inces
    -0.71
    selves
    -0.71
    ernels
    -0.70
    POSITIVE LOGITS
    less
    0.92
     therapist
    0.77
     psychologist
    0.76
    bike
    0.75
    watch
    0.74
    jam
    0.73
     scientist
    0.72
    worker
    0.71
    icum
    0.71
     sergeant
    0.70
    Activations Density 0.595%

    No Known Activations