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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. 13971
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    Explanations

    phrases related to online activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to online or digital formats

    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
     nomine
    -0.64
    --------------------------------------------------------
    -0.62
     woods
    -0.59
     wedd
    -0.58
     braces
    -0.58
    abo
    -0.57
     Vaughan
    -0.57
    ties
    -0.56
     dove
    -0.55
    iors
    -0.53
    POSITIVE LOGITS
    demand
    1.13
     occasion
    1.07
     occasions
    1.01
    campus
    1.01
     basis
    0.98
     behalf
    0.90
    street
    0.87
    prem
    0.84
     premise
    0.83
    reads
    0.82
    Activations Density 0.046%

    No Known Activations