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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. 7-RES-JB
    11. 19503
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    INDEX
    Explanations

    mentions of extremeness or intensity, particularly emphasizing negativity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of "total" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maid
    -0.89
    pell
    -0.76
    bees
    -0.76
    paces
    -0.76
     Cosponsors
    -0.72
    */(
    -0.70
    hops
    -0.69
     Moody
    -0.67
     Briggs
    -0.66
    eeds
    -0.65
    POSITIVE LOGITS
    itarian
    1.26
    itar
    1.04
     strangers
    0.86
     darkness
    0.78
     eclipse
    0.76
     coincidence
    0.76
     stranger
    0.76
     annihilation
    0.74
     immersion
    0.74
    ization
    0.73
    Activations Density 0.019%

    No Known Activations