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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. 11-RES-JB
    11. 1736
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    Explanations

    occurrences of the word "for" followed by a group of people or objects

    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases that reference groups of people or audiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rote
    -0.74
    resses
    -0.74
    Cause
    -0.73
    company
    -0.71
    eer
    -0.67
    rolet
    -0.65
    Company
    -0.65
    obin
    -0.65
    azard
    -0.64
    roup
    -0.64
    POSITIVE LOGITS
     however
    0.99
     finding
    0.95
     seeing
    0.92
     achieving
    0.88
     staying
    0.87
     navigating
    0.86
     namely
    0.86
     witnessing
    0.84
     quitting
    0.83
     meanwhile
    0.83
    Activations Density 0.163%

    No Known Activations