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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. 2-RES-JB
    11. 20793
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    Explanations

    unique patterns of characters or symbols within a text

    oai_token-act-pair · gpt-3.5-turbo

    various forms of visual or textual separators and underscores

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     divers
    -0.78
     domest
    -0.69
     Tome
    -0.67
    odon
    -0.67
     Mamm
    -0.66
     biologists
    -0.63
     Mandal
    -0.62
    riages
    -0.60
    orie
    -0.60
    illon
    -0.60
    POSITIVE LOGITS
    ______
    1.53
    _______
    1.52
    _____
    1.50
    ____
    1.36
    ________________________________________________________________
    1.29
    ___
    1.25
    ________________
    1.25
    ________
    1.22
    ________________________
    1.18
    ________________________________
    1.13
    Activations Density 0.008%

    No Known Activations