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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. 8-RES-JB
    11. 11080
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    Explanations

    phrases related to change or transformation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to change or transformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Phill
    -0.70
     Administration
    -0.63
    idelines
    -0.60
     dared
    -0.59
    istani
    -0.58
    uana
    -0.57
    FG
    -0.57
     guid
    -0.54
    puter
    -0.53
    rug
    -0.53
    POSITIVE LOGITS
     spontaneously
    0.93
     whenever
    0.89
     decay
    0.83
     AFTER
    0.82
     when
    0.81
     periodically
    0.81
    ometimes
    0.78
     automatically
    0.77
    amorph
    0.77
     gradually
    0.76
    Activations Density 0.572%

    No Known Activations