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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16965
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    INDEX
    Explanations

    prepositions followed by nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "with."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģ®éŃĶ
    -0.91
    fort
    -0.75
    BP
    -0.70
    FML
    -0.68
    ati
    -0.68
    Strange
    -0.66
    chuk
    -0.66
    unes
    -0.66
    ]);
    -0.64
    cemic
    -0.64
    POSITIVE LOGITS
     regards
    1.07
     regard
    1.06
    stood
    1.05
    draw
    1.00
     apologies
    0.98
    drawn
    0.93
     impunity
    0.86
     whom
    0.85
    standing
    0.85
     respect
    0.80
    Activations Density 0.084%

    No Known Activations