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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. 13033
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    Explanations

    words related to movement or activity

    oai_token-act-pair · gpt-3.5-turbo

    actions related to the verb "run" in various contexts

    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
    Lenin
    -0.70
    grave
    -0.65
    repre
    -0.63
     enshr
    -0.62
    ______
    -0.61
    Render
    -0.60
    theless
    -0.59
    Ë
    -0.59
    ayers
    -0.58
    heon
    -0.58
    POSITIVE LOGITS
    aways
    1.11
     af
    1.06
    tests
    0.92
    escape
    0.91
     rampant
    0.89
     away
    0.88
    ways
    0.85
    nin
    0.84
     err
    0.84
     experiments
    0.81
    Activations Density 0.040%

    No Known Activations