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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. 8-RES-JB
    11. 8479
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    Explanations

    nouns related to various types of words

    oai_token-act-pair · gpt-3.5-turbo

    prefixes and roots related to various forms of evaluation and critique

    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
    accompan
    -0.69
     Whats
    -0.63
     CLSID
    -0.61
     kittens
    -0.59
    Reviewer
    -0.58
     bourgeoisie
    -0.57
    umenthal
    -0.56
    OHN
    -0.56
     Whitman
    -0.56
    idays
    -0.56
    POSITIVE LOGITS
    urities
    1.02
    ividual
    1.00
    itably
    0.98
    inately
    0.86
    pport
    0.83
    icably
    0.80
    herent
    0.79
    entials
    0.79
    ential
    0.78
    uments
    0.77
    Activations Density 0.074%

    No Known Activations