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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. 3-RES-JB
    11. 16077
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    Explanations

    keywords or phrases indicating that the reader should refer to additional information or sources

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "see" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.89
    ascal
    -0.84
    cffffcc
    -0.82
    ivari
    -0.71
    operated
    -0.70
    ortunately
    -0.67
    trap
    -0.64
    icum
    -0.63
    purpose
    -0.63
    prime
    -0.63
    POSITIVE LOGITS
    urat
    0.81
    KER
    0.74
    hen
    0.73
     Also
    0.72
     supra
    0.72
    WARD
    0.71
    ¿½
    0.70
     whats
    0.70
     See
    0.70
    chin
    0.69
    Activations Density 0.045%

    No Known Activations