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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. 6-RES-JB
    6. 23690
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    Explanations

    the word "anything" in sentences

    oai_token-act-pair · gpt-3.5-turbo

    references to unspecified or general topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irth
    -0.70
    seless
    -0.68
    nee
    -0.68
    arb
    -0.66
    fer
    -0.66
    pa
    -0.65
    ritz
    -0.65
    artz
    -0.64
    nec
    -0.64
    oresc
    -0.64
    POSITIVE LOGITS
     else
    1.59
    Else
    1.33
     resembling
    1.20
     Else
    1.11
     imaginable
    0.98
    THING
    0.95
     remotely
    0.94
    else
    0.91
     happens
    0.86
     happening
    0.84
    Activations Density 0.033%

    No Known Activations