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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. 11-RES-JB
    11. 24144
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    Explanations

    future intentions or plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the word "going" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.66
     pairs
    -0.62
    urrencies
    -0.60
    aucuses
    -0.60
     incumb
    -0.58
     wherever
    -0.56
    etheless
    -0.56
    lesh
    -0.55
     cooper
    -0.55
    accompanied
    -0.54
    POSITIVE LOGITS
    illion
    0.69
    igon
    0.66
    Mich
    0.61
    Ca
    0.61
    ELL
    0.59
    iam
    0.59
    WE
    0.57
    antic
    0.56
    -|
    0.56
    ãĥ¥
    0.56
    Activations Density 0.060%

    No Known Activations