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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. 390
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    concepts related to doctrines, laws, and systematic frameworks

    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
    MORE
    -0.73
    Interested
    -0.72
    ECA
    -0.68
    soever
    -0.63
    --------
    -0.59
    poon
    -0.58
     :(
    -0.56
    endif
    -0.56
    akia
    -0.55
    iolet
    -0.54
    POSITIVE LOGITS
     itself
    0.92
    iest
    0.90
    ultimate
    0.88
    lessness
    0.86
    liest
    0.86
     of
    0.81
    ocratic
    0.79
     inherent
    0.73
    stones
    0.72
    less
    0.72
    Activations Density 0.460%

    No Known Activations