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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 5295
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    INDEX
    Explanations

    phrases related to actions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    phrases and connections indicating absence or lack of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.86
    ï¸
    -0.79
    hai
    -0.79
    yssey
    -0.70
    ippi
    -0.69
    example
    -0.68
    asso
    -0.68
    igma
    -0.66
    rait
    -0.65
    adle
    -0.65
    POSITIVE LOGITS
     whatsoever
    1.43
     nor
    1.32
     anything
    1.11
     either
    1.07
     anybody
    0.98
     anymore
    0.97
     slightest
    0.93
     any
    0.90
    nor
    0.85
     anyone
    0.85
    Activations Density 0.286%

    No Known Activations