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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. 21390
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    INDEX
    Explanations

    mentions of sharp objects or concepts related to sharpness

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to sharpness or intensity

    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
     Alive
    -0.72
    YL
    -0.69
    osponsors
    -0.67
    rella
    -0.66
    ylum
    -0.66
    ORED
    -0.66
    ospons
    -0.64
    FORE
    -0.63
    soDeliveryDate
    -0.62
     Bagg
    -0.62
    POSITIVE LOGITS
    ened
    1.42
    ening
    1.36
    est
    1.16
    ener
    1.08
     edges
    0.99
    edo
    0.92
    ness
    0.92
    eners
    0.89
     contrasts
    0.88
    edged
    0.86
    Activations Density 0.059%

    No Known Activations