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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. 4-RES-JB
    11. 11461
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    Explanations

    the word "request" and its variations

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to HTTP requests

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

    No Comments

    Negative Logits
    icals
    -0.80
    olson
    -0.73
    tar
    -0.71
     Brill
    -0.69
    owler
    -0.66
    rimination
    -0.65
     Blacks
    -0.65
    otine
    -0.65
    liam
    -0.64
    tal
    -0.64
    POSITIVE LOGITS
     requests
    1.03
     request
    0.93
    request
    0.92
    Animation
    0.81
     requested
    0.81
     permission
    0.79
     Request
    0.79
     requ
    0.76
     requesting
    0.75
     URI
    0.75
    Activations Density 0.018%

    No Known Activations