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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. 5996
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    INDEX
    Explanations

    titles of movies, songs, or artistic creations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas and quotation marks

    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
    ²¾
    -0.75
     metic
    -0.73
    cha
    -0.71
    nex
    -0.71
    ¬¼
    -0.69
     favourites
    -0.67
    senal
    -0.67
    ©¶æ
    -0.67
    icably
    -0.66
    itionally
    -0.65
    POSITIVE LOGITS
    /"
    0.81
     etc
    0.78
     referring
    0.78
     according
    0.78
    >>\
    0.76
     implying
    0.75
     reads
    0.72
     meaning
    0.72
     whereas
    0.69
    ————
    0.68
    Activations Density 0.083%

    No Known Activations