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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. 9143
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    Explanations

    instances where the word "will" is associated with potential actions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    expressions of expectations or outcomes related to actions

    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
    mma
    -0.84
    raph
    -0.77
    soType
    -0.75
     Archer
    -0.73
    oun
    -0.70
    opher
    -0.65
    sburg
    -0.65
     Emin
    -0.64
    hemer
    -0.64
    amen
    -0.64
    POSITIVE LOGITS
     get
    1.56
    get
    1.46
     Get
    1.36
    Get
    1.27
     gets
    1.27
     GET
    1.25
    GET
    1.23
     Gets
    1.21
     gotten
    1.20
     got
    1.19
    Activations Density 0.215%

    No Known Activations