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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. 9457
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    Explanations

    phrases related to personal struggles or challenges

    oai_token-act-pair · gpt-3.5-turbo

    instances of struggling with various mental health issues or challenges

    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
     teasp
    -0.75
    ctuary
    -0.72
    bon
    -0.71
    nn
    -0.71
    lite
    -0.70
    OGR
    -0.69
    imet
    -0.69
    isher
    -0.68
    rites
    -0.68
    ischer
    -0.67
    POSITIVE LOGITS
     boredom
    1.03
     homelessness
    0.96
     existential
    0.96
     adversity
    0.95
     bureaucracy
    0.93
     debilitating
    0.92
     difficulty
    0.92
     grief
    0.91
     relegation
    0.89
     alcoholism
    0.89
    Activations Density 0.100%

    No Known Activations