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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. 10991
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    Explanations

    expressions of preference or choice

    oai_token-act-pair · gpt-3.5-turbo

    expressions of preference or desire

    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
    pack
    -0.74
    breakers
    -0.74
    gren
    -0.71
    breaker
    -0.70
    bleacher
    -0.70
    breaks
    -0.69
    effects
    -0.68
    infeld
    -0.67
    Impl
    -0.67
    arta
    -0.67
    POSITIVE LOGITS
    itism
    0.80
    rals
    0.78
    ably
    0.73
    lihood
    0.73
     preferring
    0.68
    quickShipAvailable
    0.67
    yip
    0.66
    ancy
    0.66
     Balanced
    0.65
     prefers
    0.65
    Activations Density 0.014%

    No Known Activations