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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. 4-RES-JB
    11. 10830
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    Explanations

    personal pronouns 'you' and 'your' in the context of instructions or suggestions

    oai_token-act-pair · gpt-3.5-turbo

    the word "you" and its variations, indicating a focus on addressing the reader directly

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

    No Comments

    Negative Logits
     Dimension
    -0.67
    ãĥ³ãĤ¸
    -0.66
     Roose
    -0.65
    burgh
    -0.64
    ;;;;;;;;;;;;
    -0.61
     Capacity
    -0.60
     Ambro
    -0.60
     Submission
    -0.59
     Card
    -0.59
     Estimates
    -0.58
    POSITIVE LOGITS
    're
    1.29
    've
    1.00
     guessed
    0.99
     guys
    0.97
     want
    0.95
     wanna
    0.91
     encount
    0.83
    'd
    0.83
     balk
    0.82
     wish
    0.82
    Activations Density 0.134%

    No Known Activations