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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16001
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce or refer to specific entities or concepts that are recognized or labeled

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odder
    -0.88
    ertation
    -0.81
    erva
    -0.80
    rentice
    -0.80
    ermanent
    -0.78
    ŃĶ
    -0.76
    ixels
    -0.75
    orsche
    -0.75
    plet
    -0.75
    psey
    -0.75
    POSITIVE LOGITS
    л
    0.83
    ties
    0.74
    ledged
    0.74
    cut
    0.73
    ãĤ¤
    0.72
    cuts
    0.71
    itarian
    0.70
     μ
    0.68
     quantity
    0.67
     abbrevi
    0.66
    Activations Density 0.030%

    No Known Activations