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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. 8701
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    Explanations

    mentions of technological specifications related to quad-core processors

    oai_token-act-pair · gpt-3.5-turbo

    references to "quad" or variations of the term 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
    ãģĦ
    -0.85
    xual
    -0.82
    CRIPTION
    -0.82
    ãģį
    -0.80
    Ö¼
    -0.79
     deduction
    -0.76
    éĹĺ
    -0.75
     deed
    -0.75
    UME
    -0.75
    OURCE
    -0.73
    POSITIVE LOGITS
    rants
    1.22
    rant
    1.10
    rival
    1.07
    rot
    1.01
    rice
    1.00
    ril
    0.98
    raph
    0.94
    rup
    0.94
    cop
    0.93
    rast
    0.91
    Activations Density 0.014%

    No Known Activations