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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. 10-RES-JB
    11. 1057
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    INDEX
    Explanations

    the impact or influence of various things on different aspects or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the effects and impacts of specific entities or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onet
    -0.62
    hunt
    -0.56
    hess
    -0.56
    hua
    -0.55
     outdoors
    -0.55
     hus
    -0.54
    ategor
    -0.54
     tagging
    -0.54
    netflix
    -0.54
    anos
    -0.54
    POSITIVE LOGITS
     afforded
    0.79
     receives
    0.78
     received
    0.77
     receive
    0.76
     underwent
    0.75
    uristic
    0.74
     gave
    0.72
     bestowed
    0.71
     exerted
    0.71
     impart
    0.69
    Activations Density 0.366%

    No Known Activations