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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. 7-RES-JB
    11. 20586
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    Explanations

    references to software developers and their activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "developer" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neum
    -0.74
    zzi
    -0.70
    lla
    -0.70
    aukee
    -0.69
    ibrary
    -0.68
    olit
    -0.68
    urn
    -0.67
    beck
    -0.66
    Ĥİ
    -0.66
    igan
    -0.66
    POSITIVE LOGITS
    urally
    0.88
    paces
    0.83
     accelerator
    0.73
     Developers
    0.70
    itatively
    0.69
     developer
    0.69
    pad
    0.67
    ifice
    0.63
    iants
    0.63
    ency
    0.63
    Activations Density 0.030%

    No Known Activations