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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. 8-RES-JB
    11. 2066
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    Explanations

    phrases that introduce a statement or emphasize a point

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate observation or commentary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.87
    ocal
    -0.72
    inges
    -0.70
    STDOUT
    -0.69
    uscript
    -0.69
    stal
    -0.66
    ocative
    -0.66
    likely
    -0.64
    staking
    -0.63
    âĵĺ
    -0.63
    POSITIVE LOGITS
     THERE
    0.82
     there
    0.79
     Emin
    0.73
     I
    0.71
     Guys
    0.71
     suppose
    0.71
     we
    0.69
     however
    0.68
     dear
    0.65
     sir
    0.64
    Activations Density 0.095%

    No Known Activations