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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. 6987
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly colons and brackets

    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
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    No Comments

    Negative Logits
     tremend
    -0.75
    orth
    -0.69
    leased
    -0.63
    iov
    -0.61
     inspector
    -0.61
    isman
    -0.60
    xon
    -0.56
     transfers
    -0.56
     limits
    -0.55
    alog
    -0.55
    POSITIVE LOGITS
    ↵
    1.16
    ↵↵
    1.12
     https
    1.06
    <|endoftext|>
    1.05
    ↵Âł
    1.05
     http
    1.02
     "[
    1.00
     "âĢ¦
    0.99
     "...
    0.98
    >:
    0.85
    Activations Density 0.121%

    No Known Activations