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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. 11-RES-JB
    11. 12076
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    Explanations

    verbs related to creative activities such as drawing, creating, writing, building, and making

    oai_token-act-pair · gpt-3.5-turbo

    references to creators or builders of various works and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yond
    -0.80
    akening
    -0.69
    ellow
    -0.69
    fw
    -0.67
    another
    -0.66
     anecd
    -0.65
     recons
    -0.64
    unal
    -0.63
    osponsors
    -0.62
    orneys
    -0.62
    POSITIVE LOGITS
     them
    0.93
     these
    0.85
     those
    0.75
     it
    0.71
     this
    0.70
     us
    0.70
    them
    0.66
     the
    0.66
     him
    0.63
     THEM
    0.63
    Activations Density 0.303%

    No Known Activations