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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. 2402
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    Explanations

    names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and their roles or functions in various contexts

    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
     psychiat
    -0.72
     destro
    -0.64
     notor
    -0.62
    versely
    -0.61
     embold
    -0.61
     confir
    -0.60
     depreciation
    -0.59
     staggering
    -0.59
     undermin
    -0.58
     flourishing
    -0.58
    POSITIVE LOGITS
     [/
    1.13
    [/
    0.99
     =================================
    0.98
    ↵
    0.97
     ->
    0.95
    <|endoftext|>
    0.93
     |
    0.91
    ↵↵
    0.86
     //
    0.85
     </
    0.84
    Activations Density 0.674%

    No Known Activations