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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. 10-RES-JB
    11. 8131
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    Explanations

    sentences containing special characters, such as Ċ, comma, and brackets

    oai_token-act-pair · gpt-3.5-turbo

    instances of substantial numerical values or codes in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abouts
    -0.74
     dating
    -0.67
     mosqu
    -0.65
     neighb
    -0.64
     organis
    -0.64
     citiz
    -0.63
     ensu
    -0.62
     newcom
    -0.62
     flats
    -0.62
     thous
    -0.61
    POSITIVE LOGITS
    ³³³³³³³³
    1.09
    "âĢ¦
    1.05
    "...
    1.00
    ³³³³³³³³³³³³³³³³
    0.97
    "'
    0.90
    ³³³³
    0.88
    ³³³
    0.85
    "[
    0.85
     "'
    0.82
     "...
    0.82
    Activations Density 0.106%

    No Known Activations