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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. 9-RES-JB
    11. 5521
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    Explanations

    phrases related to advanced scientific concepts or technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    details related to technical specifications and comparisons in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.85
    entimes
    -0.70
    ®
    -0.67
    ----------
    -0.66
    guyen
    -0.65
    ongevity
    -0.65
    assment
    -0.64
    >>>>>>>>
    -0.63
    untary
    -0.63
    ependent
    -0.63
    POSITIVE LOGITS
     helicopters
    0.68
     boats
    0.65
     asteroids
    0.64
     airports
    0.64
     submarines
    0.63
     castles
    0.62
     resemblance
    0.62
     pige
    0.60
     aluminium
    0.60
     missiles
    0.60
    Activations Density 1.817%

    No Known Activations