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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. 57
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    Explanations

    phrases related to different features, services, or decisions being provided or made

    oai_token-act-pair · gpt-3.5-turbo

    mentions of actions related to providing, offering, and enabling access or support

    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
    catentry
    -0.41
    abytes
    -0.38
    abyte
    -0.38
    Guard
    -0.35
    Sorry
    -0.34
     Yourself
    -0.34
    )"
    -0.34
    cel
    -0.34
    row
    -0.33
     viz
    -0.33
    POSITIVE LOGITS
    ãĥį
    0.43
    emonium
    0.39
     Cosponsors
    0.39
     partName
    0.38
     additionally
    0.37
    allery
    0.37
     unequivocally
    0.37
    ĻĤ
    0.37
     however
    0.36
     ital
    0.36
    Activations Density 2.933%

    No Known Activations