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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. 12-RES-JB
    11. 2563
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    Explanations

    words related to specific events or locations, potentially related to news or updates

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words that indicate a high frequency of specific vowel sounds or endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ©¶æ
    -0.89
     Mour
    -0.63
     Burke
    -0.58
     behold
    -0.55
     prospective
    -0.53
     Warrant
    -0.53
     CFR
    -0.52
    peed
    -0.52
     Jaw
    -0.52
     Ferguson
    -0.52
    POSITIVE LOGITS
    cially
    0.89
    hetto
    0.87
    cial
    0.83
    aneously
    0.79
    idon
    0.77
    aneous
    0.76
    unky
    0.76
    essim
    0.74
    cific
    0.73
    izophren
    0.72
    Activations Density 0.127%

    No Known Activations