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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. 2773
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    Explanations

    phrases containing specific proper nouns (such as names of locations or organizations) and technical details

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

    references to specific entities or organizations

    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
     thirds
    -0.69
    -)
    -0.64
    regate
    -0.63
     baseman
    -0.61
    anan
    -0.61
    âĢ¢
    -0.59
     Logged
    -0.58
    ander
    -0.53
    -
    -0.53
     beef
    -0.50
    POSITIVE LOGITS
     unfocusedRange
    0.69
    EStreamFrame
    0.65
    iners
    0.64
    krit
    0.64
     Sloan
    0.63
    itans
    0.59
     sidx
    0.57
    enture
    0.56
     Organizations
    0.55
    rimination
    0.55
    Activations Density 0.154%

    No Known Activations