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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. 4-RES-JB
    11. 740
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    Explanations

    phrases mentioning a group of individuals working together which may indicate teamwork or collaboration

    oai_token-act-pair · gpt-3.5-turbo

    references to teams or groups of people

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

    No Comments

    Negative Logits
    Sov
    -0.73
    forward
    -0.69
    fect
    -0.68
    Dom
    -0.67
     Amendments
    -0.66
    tml
    -0.66
    Reloaded
    -0.65
     Franch
    -0.65
    tm
    -0.63
    Accessory
    -0.62
    POSITIVE LOGITS
    members
    1.02
     mates
    1.00
     members
    0.92
    peak
    0.92
    liquid
    0.89
    rons
    0.88
    urally
    0.88
    member
    0.86
    mates
    0.84
     member
    0.84
    Activations Density 0.056%

    No Known Activations