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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. 2-RES-JB
    11. 972
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    Explanations

    the word "anyone" with a relatively high activation value

    oai_token-act-pair · gpt-3.5-turbo

    the word "anyone"

    oai_token-act-pair · gpt-4-turbo

    the word "anyone" and its variations throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pa
    -0.65
    ories
    -0.63
    ritz
    -0.61
     Kitchen
    -0.61
     Congo
    -0.60
     Labor
    -0.60
     Shows
    -0.59
     BDS
    -0.59
     Maze
    -0.59
    neck
    -0.59
    POSITIVE LOGITS
     else
    1.55
    THING
    1.26
    Else
    1.14
     Else
    1.03
    else
    0.98
    soever
    0.97
     imaginable
    0.88
    20439
    0.87
    omever
    0.87
     doubted
    0.86
    Activations Density 0.017%

    No Known Activations