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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. 0-RES-JB
    6. 128
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    Explanations

    the pronoun "you" followed by words of encouragement or instructions for a variety of situations

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "you."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    APTER
    -0.61
     alone
    -0.57
     sadd
    -0.55
    atics
    -0.55
     necess
    -0.53
    ulating
    -0.53
     presently
    -0.53
    ogenesis
    -0.52
    ost
    -0.50
     latch
    -0.50
    POSITIVE LOGITS
     You
    2.86
    You
    2.09
     Your
    2.01
    you
    1.76
     YOU
    1.67
    YOU
    1.59
    Your
    1.57
     Yourself
    1.53
     you
    1.41
     We
    1.41
    Activations Density 0.038%

    No Known Activations