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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. 11-RES-JB
    11. 14020
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    INDEX
    Explanations

    mentions of contextualization and categorization

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social constructs and personal interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     someday
    -0.73
     imaginable
    -0.63
     conceivable
    -0.61
     Suppose
    -0.60
     eternity
    -0.57
     doubtless
    -0.56
     tempting
    -0.56
     forthcoming
    -0.56
     ticking
    -0.55
    estern
    -0.53
    POSITIVE LOGITS
    only
    1.16
     solely
    1.06
     alone
    1.00
     exclusively
    0.99
     separately
    0.89
     mainly
    0.87
     ONLY
    0.86
    Only
    0.85
     only
    0.83
     elsewhere
    0.81
    Activations Density 1.063%

    No Known Activations