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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. 9-RES-JB
    6. 703
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    Explanations

    the word "No" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "No."

    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
    rn
    -0.67
    RAFT
    -0.64
    MpServer
    -0.64
    knit
    -0.63
    tein
    -0.62
    CLOSE
    -0.60
    RANT
    -0.59
    adobe
    -0.59
    ULAR
    -0.59
    iership
    -0.59
    POSITIVE LOGITS
     kidding
    1.08
     doubt
    1.05
     wonder
    1.00
    vel
    1.00
    zzle
    0.96
    isy
    0.96
     matter
    0.95
     longer
    0.92
    emi
    0.92
    ct
    0.90
    Activations Density 0.060%

    No Known Activations