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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. 1-RES-JB
    11. 22012
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    Explanations

    terms related to making a call for action or attention

    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fiction
    -0.69
    inth
    -0.67
     concentration
    -0.65
    rg
    -0.63
     bunny
    -0.61
     Recovery
    -0.61
    edom
    -0.61
    Lago
    -0.60
    imeo
    -0.58
     Juda
    -0.57
    POSITIVE LOGITS
     Calling
    1.07
    call
    1.04
    calling
    0.90
    backs
    0.89
     calling
    0.85
    Call
    0.83
     Call
    0.83
     CALL
    0.76
     calls
    0.75
     Niet
    0.74
    Activations Density 0.012%

    No Known Activations