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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. 3-RES-JB
    11. 8390
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    INDEX
    Explanations

    action-related statements or expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express expectations or predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.88
    listed
    -0.78
    Textures
    -0.66
    Written
    -0.65
    verbs
    -0.64
    HTTP
    -0.63
    river
    -0.63
     Advertisement
    -0.63
    Reader
    -0.62
    ById
    -0.61
    POSITIVE LOGITS
     be
    1.08
     give
    0.99
     earn
    0.95
     make
    0.95
     perform
    0.94
     avoid
    0.93
     proceed
    0.93
     spend
    0.93
     keep
    0.93
     deliver
    0.93
    Activations Density 0.264%

    No Known Activations