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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. 8-RES-JB
    11. 22297
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    Explanations

    phrases related to adapting or fitting something to specific needs or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to customization and suitability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknowled
    -0.84
    amar
    -0.82
    der
    -0.72
     ado
    -0.71
    ware
    -0.71
    eware
    -0.71
     acknowled
    -0.66
     prematurely
    -0.65
     refunds
    -0.65
     neglig
    -0.64
    POSITIVE LOGITS
     tastes
    1.06
     sensibilities
    1.03
     needs
    1.02
     lifestyles
    1.01
     circumstances
    1.01
     liking
    0.92
     strengths
    0.92
     requirements
    0.90
     interests
    0.89
     niche
    0.88
    Activations Density 0.375%

    No Known Activations