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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8100
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    INDEX
    Explanations

    pronouns referring to individuals or groups, as well as past and present participles

    oai_token-act-pair · gpt-3.5-turbo

    pronouns that indicate subject references

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Amen
    -0.66
     Additional
    -0.59
     unspecified
    -0.58
    itol
    -0.58
     undisclosed
    -0.58
     guiActiveUnfocused
    -0.57
    "}],"
    -0.57
     sizeof
    -0.56
     whichever
    -0.56
     attribution
    -0.54
    POSITIVE LOGITS
    've
    1.07
     certainly
    0.97
    'll
    0.93
    'd
    0.93
    gemony
    0.88
    're
    0.87
     didn
    0.86
    resy
    0.83
    miah
    0.83
    reditary
    0.83
    Activations Density 0.290%

    No Known Activations