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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. 22929
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    Explanations

    words expressing strong requests or appeals

    oai_token-act-pair · gpt-3.5-turbo

    imperatives and expressions of strong requests or commitments

    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
    ird
    -0.65
    artney
    -0.65
     Colleges
    -0.61
    eller
    -0.61
    earable
    -0.60
     generated
    -0.58
    ousy
    -0.57
    Args
    -0.57
    aker
    -0.54
    VERTISEMENT
    -0.54
    POSITIVE LOGITS
     myself
    1.49
     my
    1.01
     thee
    0.95
    REDACTED
    0.88
    poke
    0.87
     ya
    0.87
    votes
    0.74
     you
    0.72
    arest
    0.72
    laughs
    0.70
    Activations Density 0.203%

    No Known Activations