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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. 1019
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "it" in various contexts

    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
    EStream
    -0.64
     halftime
    -0.59
    HAM
    -0.58
    KER
    -0.58
     pudding
    -0.57
    Operation
    -0.56
    Origin
    -0.55
    clad
    -0.55
     schooling
    -0.54
     precedent
    -0.54
    POSITIVE LOGITS
    uary
    1.12
    amins
    1.12
    anium
    1.05
    geist
    1.00
    ravel
    1.00
    imer
    0.99
    chell
    0.98
    ivities
    0.96
    rification
    0.95
    oba
    0.95
    Activations Density 0.041%

    No Known Activations