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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. 4000
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    INDEX
    Explanations

    mentions of visitors or visits

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "visit" or its variations

    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
     Carnegie
    -0.61
    tackle
    -0.61
    tons
    -0.61
     LOVE
    -0.60
     weighing
    -0.60
    starter
    -0.59
    rd
    -0.58
     uproar
    -0.57
     RELE
    -0.57
     uncertainty
    -0.57
    POSITIVE LOGITS
    itors
    1.33
    itor
    1.22
    ibility
    1.21
    ited
    1.03
    iting
    1.02
    ibly
    1.01
    itation
    1.00
    UAL
    0.96
    apore
    0.95
    cer
    0.95
    Activations Density 0.030%

    No Known Activations