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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. 3-RES-JB
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    Explanations

    the name "Sterling"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Sterling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lication
    -0.73
    osit
    -0.72
    enforcement
    -0.68
    ĸļ
    -0.68
    alach
    -0.66
    ournals
    -0.66
    FER
    -0.66
    shr
    -0.66
    nesses
    -0.65
    cause
    -0.65
    POSITIVE LOGITS
     Sterling
    1.08
     Staples
    0.82
    loo
    0.79
     Heights
    0.76
    tone
    0.73
     chloride
    0.72
    pling
    0.71
     Yards
    0.70
     Slug
    0.69
     Cooper
    0.69
    Activations Density 0.010%

    No Known Activations