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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. 5240
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    INDEX
    Explanations

    specific prepositions "in" or "on" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    prepositions in various contexts

    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
     Provision
    -0.71
     Helm
    -0.64
     Puzzles
    -0.63
     Voy
    -0.62
     TOM
    -0.61
     Monsters
    -0.61
     Rabbit
    -0.61
     Sturgeon
    -0.60
     Panthers
    -0.57
     Doe
    -0.57
    POSITIVE LOGITS
    usal
    0.88
    humane
    0.87
    effic
    0.85
    -
    0.83
    ordinate
    0.83
    coming
    0.83
    patient
    0.82
    lay
    0.82
    nec
    0.82
    etimes
    0.82
    Activations Density 0.103%

    No Known Activations