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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. 18809
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    Explanations

    phrases indicating completion or achievement

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating inevitability or certainty

    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
    CTV
    -0.65
     guiActiveUn
    -0.63
     Healthy
    -0.62
     Preservation
    -0.61
    quickShipAvailable
    -0.61
     Kou
    -0.60
    lished
    -0.59
     Targ
    -0.58
     Libre
    -0.58
     pane
    -0.58
    POSITIVE LOGITS
    uminati
    1.33
    inois
    0.95
    oyd
    0.92
    ounge
    0.91
    umin
    0.87
    upload
    0.86
    iard
    0.84
    ows
    0.83
    endor
    0.80
    ices
    0.80
    Activations Density 0.028%

    No Known Activations