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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. 9791
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    Explanations

    phrases related to tracking or investigating

    oai_token-act-pair · gpt-3.5-turbo

    words related to tracking or following something

    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
    otos
    -0.81
    icum
    -0.79
    annis
    -0.78
    ows
    -0.75
    itch
    -0.70
    comes
    -0.70
    ottest
    -0.67
    ivals
    -0.65
     FANTASY
    -0.65
    skill
    -0.64
    POSITIVE LOGITS
     traces
    1.03
     trace
    0.91
     traced
    0.85
     tracing
    0.85
     footprints
    0.78
     Trace
    0.77
     fossils
    0.75
    trace
    0.74
     bracelet
    0.74
    ibly
    0.73
    Activations Density 0.029%

    No Known Activations