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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. 11611
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    INDEX
    Explanations

    phrases related to influencing or persuading others

    oai_token-act-pair · gpt-3.5-turbo

    references to manipulation or influence on individuals or groups

    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
     largeDownload
    -0.62
    heny
    -0.58
     Pressure
    -0.57
     roundup
    -0.57
    tackle
    -0.56
    WOR
    -0.55
     nap
    -0.55
    drawn
    -0.54
     gig
    -0.54
     reperc
    -0.53
    POSITIVE LOGITS
    selves
    1.05
    jah
    0.87
    abi
    0.81
    self
    0.75
    isphere
    0.75
     withd
    0.74
    aughs
    0.74
     accordingly
    0.71
    atically
    0.71
    into
    0.70
    Activations Density 0.285%

    No Known Activations