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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. 9-RES-JB
    11. 8827
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    Explanations

    phrases indicating novelty or uniqueness

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to new experiences or originality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Emails
    -0.59
     aliases
    -0.58
    tics
    -0.58
     alias
    -0.58
     Stick
    -0.56
     pissed
    -0.55
     plead
    -0.55
     downgrade
    -0.54
    ritz
    -0.53
    soType
    -0.53
    POSITIVE LOGITS
     imaginable
    0.94
     dreamed
    0.90
    arthed
    0.85
    ¥µ
    0.84
     hitherto
    0.84
     existed
    0.81
     previously
    0.79
     imagined
    0.79
    thinkable
    0.78
    before
    0.76
    Activations Density 0.270%

    No Known Activations