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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. 3-RES-JB
    6. 22033
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    Explanations

    proper nouns related to names, possibly of people or places

    oai_token-act-pair · gpt-3.5-turbo

    names and references associated with specific individuals or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Chem
    -0.70
     AMA
    -0.68
     Participant
    -0.67
     Hannah
    -0.66
    atches
    -0.66
     gestation
    -0.65
    Food
    -0.63
     Pocket
    -0.63
     Polo
    -0.61
     Bastard
    -0.60
    POSITIVE LOGITS
    doms
    0.91
    riks
    0.90
    Reloaded
    0.81
    hyde
    0.79
    awa
    0.77
    nil
    0.74
    ":"/
    0.74
    ting
    0.74
    nery
    0.74
    igation
    0.73
    Activations Density 0.030%

    No Known Activations