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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. 2163
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    Explanations

    key terms related to data management, structuring, and organization

    oai_token-act-pair · gpt-3.5-turbo

    elements related to data structures and their management

    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
    ©¶æ¥µ
    -0.64
    ventions
    -0.63
     Freak
    -0.60
     Curry
    -0.58
    resa
    -0.58
    olitics
    -0.56
    rench
    -0.54
    enture
    -0.53
     Hogan
    -0.53
    India
    -0.53
    POSITIVE LOGITS
     consecut
    1.33
     correctly
    1.17
     (=
    0.93
     randomly
    0.93
     regardless
    0.92
     aloud
    0.91
     incorrectly
    0.90
     automatically
    0.89
    ().
    0.88
     irrespective
    0.86
    Activations Density 0.339%

    No Known Activations