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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. 370
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    Explanations

    details about two or more specific people involved in various situations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the number two and its association with various subjects

    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
    Products
    -0.73
    taboola
    -0.63
     EVENTS
    -0.62
     Cros
    -0.61
    ahime
    -0.60
     Gleaming
    -0.59
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.59
     Transcript
    -0.58
    ãĤ´ãĥ³
    -0.58
     relies
    -0.57
    POSITIVE LOGITS
     apiece
    1.15
     respectively
    1.10
     totaling
    1.00
     consecut
    0.98
     jointly
    0.94
     simultaneously
    0.92
     together
    0.86
     identical
    0.81
    ¥ŀ
    0.76
    equal
    0.76
    Activations Density 0.495%

    No Known Activations