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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. 9-RES-JB
    11. 14194
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    Explanations

    pronouns indicating a personal viewpoint

    oai_token-act-pair · gpt-3.5-turbo

    questions directed towards the reader

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ces
    -0.83
    ooks
    -0.72
    opens
    -0.70
    76561
    -0.70
    uces
    -0.69
    got
    -0.66
    è¦ļéĨĴ
    -0.65
    produced
    -0.64
    partisan
    -0.64
    uses
    -0.64
    POSITIVE LOGITS
     be
    1.11
     succeed
    1.08
     hesitate
    0.97
     abandon
    0.95
     succumb
    0.92
     choose
    0.92
     suffice
    0.92
     continue
    0.92
     dare
    0.92
     ever
    0.91
    Activations Density 0.072%

    No Known Activations