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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. 15158
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    Explanations

    phrases expressing positive opinions or appreciation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of high praise or positive evaluations

    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
    ople
    -0.77
    Downloadha
    -0.75
    eters
    -0.71
    SPONSORED
    -0.71
    eter
    -0.70
    pex
    -0.69
    cling
    -0.69
    clips
    -0.68
    ilus
    -0.67
    former
    -0.65
    POSITIVE LOGITS
    sword
    0.89
     deal
    0.85
     strides
    0.83
     opportunity
    0.82
     synergy
    0.79
     asset
    0.78
     introductory
    0.77
     tasting
    0.76
     fun
    0.76
     Dane
    0.76
    Activations Density 0.045%

    No Known Activations