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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. 8895
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    Explanations

    proper nouns or named entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to statistics or numerical data

    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
    IAS
    -0.72
    Shut
    -0.67
     sideline
    -0.64
     sidel
    -0.61
    BRE
    -0.60
    LOS
    -0.59
    shut
    -0.58
    icz
    -0.57
    rage
    -0.55
    hai
    -0.55
    POSITIVE LOGITS
    avorite
    0.76
    awaru
    0.72
     none
    0.72
     Tycoon
    0.65
    Ranked
    0.64
    20439
    0.62
    none
    0.62
     besides
    0.61
     Pref
    0.61
    excluding
    0.61
    Activations Density 0.118%

    No Known Activations