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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 12708
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    INDEX
    Explanations

    proper nouns, specifically those related to locations or people

    oai_token-act-pair · gpt-3.5-turbo

    specific character strings or initialisms

    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
     AE
    -0.81
     BB
    -0.79
    icken
    -0.79
     AF
    -0.79
     rs
    -0.78
    ARDS
    -0.77
     Ack
    -0.77
     brid
    -0.75
     Bron
    -0.75
     Tyson
    -0.74
    POSITIVE LOGITS
    um
    1.84
    UM
    1.69
    ums
    1.46
     Plum
    1.42
    ummer
    1.41
     Dum
    1.38
     Lum
    1.34
    umm
    1.28
     Cum
    1.25
     Kum
    1.25
    Activations Density 0.441%

    No Known Activations