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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    the name "Sara"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Sara" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orius
    -0.86
    ership
    -0.84
    eous
    -0.81
    anchester
    -0.79
    gow
    -0.75
    eering
    -0.71
    inis
    -0.71
    esy
    -0.71
    erville
    -0.68
    osit
    -0.68
    POSITIVE LOGITS
     Sara
    0.94
    osponsors
    0.81
    ר
    0.75
    NRS
    0.74
    earcher
    0.73
    ãĥ¼ãĥ³
    0.73
    apy
    0.71
    coni
    0.70
    adan
    0.70
    ש
    0.70
    Activations Density 0.021%

    No Known Activations