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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. 1456
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    Explanations

    phrases related to various types of activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of activity

    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
    ocard
    -0.79
    Boss
    -0.75
    gling
    -0.74
    oiler
    -0.68
    skinned
    -0.68
    vette
    -0.65
    rage
    -0.63
    ulously
    -0.63
    inger
    -0.62
    AU
    -0.61
    POSITIVE LOGITS
     undertaken
    1.00
    ional
    0.91
     patterns
    0.84
     activities
    0.83
    ivism
    0.81
     activity
    0.79
     verbs
    0.78
     occurring
    0.75
    ivity
    0.75
    iveness
    0.74
    Activations Density 0.053%

    No Known Activations