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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. 11-RES-JB
    11. 6476
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    Explanations

    step-by-step instructions or guidance

    oai_token-act-pair · gpt-3.5-turbo

    instructional language related to step-by-step processes or directions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UNHCR
    -0.75
     Civic
    -0.72
    href
    -0.71
     fielded
    -0.69
     existential
    -0.68
     monopoly
    -0.66
     Political
    -0.66
     revoked
    -0.66
     privileged
    -0.66
     esports
    -0.66
    POSITIVE LOGITS
     Instructions
    1.24
     Directions
    1.15
    optional
    1.10
     instructions
    1.08
    Instruct
    1.06
    Step
    1.05
    Tip
    1.05
    Tips
    1.03
    Optional
    1.03
     Prepar
    1.00
    Activations Density 0.364%

    No Known Activations