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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. 3-RES-JB
    11. 11969
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    Explanations

    phrases related to making requests or demands

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inth
    -0.76
    =-=-
    -0.75
    edom
    -0.65
     Fiction
    -0.63
    Lago
    -0.62
    eka
    -0.62
     Recovery
    -0.61
    oiler
    -0.60
    olitics
    -0.59
    tsy
    -0.59
    POSITIVE LOGITS
    call
    0.92
     Calling
    0.85
    backs
    0.81
    igraph
    0.80
    Call
    0.77
    aghan
    0.77
     Call
    0.75
    calling
    0.74
    ocial
    0.72
     calls
    0.71
    Activations Density 0.038%

    No Known Activations