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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. 6-RES-JB
    11. 2590
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    INDEX
    Explanations

    events or sequences of events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of significant occurrences or happenings in a given context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unicip
    -0.77
    ickets
    -0.72
    oug
    -0.69
    ench
    -0.68
    olls
    -0.67
    ateurs
    -0.67
     Excellence
    -0.66
     pigeon
    -0.66
    ply
    -0.65
    icrobial
    -0.65
    POSITIVE LOGITS
     transpired
    1.30
     unfolded
    1.25
     unfolding
    1.22
     unfold
    1.19
     happened
    0.98
    uate
    0.95
    uating
    0.91
     events
    0.88
     occurring
    0.85
    uates
    0.85
    Activations Density 0.056%

    No Known Activations