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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 21158
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    Explanations

    proper nouns or entities mentioned in text, especially associated with identity or labeling

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Name" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     relaxation
    -0.68
    rals
    -0.65
    aris
    -0.65
    rats
    -0.64
     stim
    -0.63
     Revel
    -0.63
    urable
    -0.62
    trap
    -0.61
    stim
    -0.61
     screenings
    -0.61
    POSITIVE LOGITS
     Name
    3.79
    Name
    2.64
     NAME
    2.52
     Names
    2.43
     name
    2.31
    name
    2.02
    Names
    1.89
     names
    1.86
    NAME
    1.69
     surname
    1.53
    Activations Density 0.010%

    No Known Activations