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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. 2-RES-JB
    11. 3041
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    Explanations

    references to locations or directions

    oai_token-act-pair · gpt-3.5-turbo

    the word "where" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yi
    -0.80
    ³³³³³³³³
    -0.77
    rolet
    -0.75
    wu
    -0.69
    asts
    -0.68
    agers
    -0.65
    ets
    -0.63
    ³³³
    -0.62
     Beasts
    -0.62
    ocker
    -0.60
    POSITIVE LOGITS
    upon
    1.28
    abouts
    1.22
    soever
    1.14
    fore
    1.03
    with
    0.73
    ver
    0.73
    abama
    0.70
    ilib
    0.69
    earch
    0.68
    nces
    0.67
    Activations Density 0.066%

    No Known Activations