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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. 6-RES-JB
    11. 9265
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    Explanations

    specifically the word "your"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "your" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apo
    -0.95
    forth
    -0.82
     Goes
    -0.74
     Cohn
    -0.74
     Originally
    -0.71
    ilts
    -0.71
    Hour
    -0.69
    ween
    -0.68
    Æ
    -0.68
    wik
    -0.68
    POSITIVE LOGITS
     own
    1.36
     favourite
    1.19
     favorite
    1.08
    selves
    0.94
    anmar
    0.92
     adversary
    0.89
     opponent
    0.87
    ocard
    0.85
     subscription
    0.85
    self
    0.85
    Activations Density 0.105%

    No Known Activations