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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    words ending in "-eep" or "-ep" where the "e" is silent

    oai_token-act-pair · gpt-3.5-turbo

    the word "ep" in various contexts

    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
     nomine
    -0.87
     referen
    -0.83
    Ô
    -0.73
     Rid
    -0.71
    ãĤ´ãĥ³
    -0.70
     AMERICA
    -0.68
    Frameworks
    -0.67
    ModLoader
    -0.66
     unfavorable
    -0.63
     glim
    -0.63
    POSITIVE LOGITS
    isodes
    1.36
    odcast
    1.22
    hemer
    1.14
    artment
    1.09
    edia
    1.04
    iphany
    1.03
    rint
    1.03
    ublic
    1.01
    iscopal
    0.96
    osit
    0.94
    Activations Density 0.011%

    No Known Activations