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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. 6-RES-JB
    11. 7381
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    Explanations

    phrases related to specific objects or shapes

    oai_token-act-pair · gpt-3.5-turbo

    unique and vivid imagery related to objects and phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.74
     Goals
    -0.68
     Abilities
    -0.68
    arters
    -0.67
     Vehicles
    -0.67
     establishments
    -0.67
     venues
    -0.67
    laws
    -0.66
    rosso
    -0.66
    orders
    -0.66
    POSITIVE LOGITS
     shaped
    1.03
     wrapped
    0.83
    hole
    0.80
    shaped
    0.79
     unto
    0.78
    coat
    0.78
     sized
    0.78
    ish
    0.76
    worker
    0.74
     dipped
    0.74
    Activations Density 0.403%

    No Known Activations