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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. 0-RES-JB
    11. 13469
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    Explanations

    phrases related to making a call for or urging action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "calling."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilt
    -0.72
    neau
    -0.71
    ________________________________________________________________
    -0.70
    abil
    -0.66
     guiName
    -0.64
    ital
    -0.64
    icip
    -0.64
    hander
    -0.63
    =-=-=-=-=-=-=-=-
    -0.63
    elve
    -0.61
    POSITIVE LOGITS
     calling
    3.57
    calling
    2.68
     Calling
    2.42
    Calling
    2.17
     call
    1.79
     calls
    1.75
     caller
    1.66
     CALL
    1.64
     declaring
    1.58
     denouncing
    1.57
    Activations Density 0.018%

    No Known Activations