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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. 6494
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    Explanations

    words that indicate an object or concept's relation to a larger grouping or category

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating involvement or participation in broader initiatives or programs

    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
    culosis
    -0.73
    ITH
    -0.67
    izu
    -0.66
    stasy
    -0.61
    intent
    -0.60
    ricanes
    -0.59
    anches
    -0.58
    bush
    -0.57
    20439
    -0.55
     levels
    -0.55
    POSITIVE LOGITS
    aking
    0.83
    icularly
    0.81
    nered
    0.81
    ially
    0.80
    heartedly
    0.79
    ners
    0.75
    mast
    0.74
    isans
    0.70
    meal
    0.68
    dated
    0.67
    Activations Density 0.038%

    No Known Activations