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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. 0-RES-JB
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    Explanations

    proper nouns or names in all uppercase letters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letters "UR" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maker
    -0.85
    makers
    -0.75
    making
    -0.68
     maker
    -0.65
    lette
    -0.63
     informant
    -0.63
     superf
    -0.61
     doll
    -0.61
    tery
    -0.60
     Empress
    -0.59
    POSITIVE LOGITS
    UR
    4.19
    URE
    2.11
    URES
    2.10
    ur
    2.02
    URA
    1.88
    URI
    1.81
    URN
    1.68
    urs
    1.67
    URR
    1.60
    ural
    1.57
    Activations Density 0.004%

    No Known Activations