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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. 8331
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    Explanations

    comparisons between different groups or entities

    oai_token-act-pair · gpt-3.5-turbo

    comparisons between groups of people or entities

    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
    akra
    -0.69
    ovember
    -0.65
    estone
    -0.64
     laun
    -0.63
     citation
    -0.60
     rupture
    -0.60
     Dimensions
    -0.59
    Salt
    -0.59
    ð
    -0.59
    imeter
    -0.58
    POSITIVE LOGITS
    those
    1.26
     ones
    1.25
     those
    1.15
     losers
    1.10
     individuals
    0.96
     Those
    0.95
     newcomers
    0.92
     Ones
    0.90
    Those
    0.88
     persons
    0.88
    Activations Density 0.623%

    No Known Activations