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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. 6-RES-JB
    11. 4481
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    Explanations

    people's names and associated information, possibly in a list or related context

    oai_token-act-pair · gpt-3.5-turbo

    names or identifiers associated with various individuals

    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
    ocations
    -0.68
    cases
    -0.63
     experience
    -0.62
    overs
    -0.60
    omen
    -0.59
    ood
    -0.59
    rule
    -0.58
     ISPs
    -0.56
    grounds
    -0.56
    rack
    -0.56
    POSITIVE LOGITS
     Jr
    1.03
    Jr
    0.84
    icio
    0.82
     Sr
    0.75
     aka
    0.75
    abwe
    0.72
    anu
    0.71
     meanwhile
    0.69
    åĮ
    0.69
    formerly
    0.68
    Activations Density 0.262%

    No Known Activations