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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. 3204
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    Explanations

    time-related expressions referring to future or specified periods within certain contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate specific locations or time frames

    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
    ammy
    -0.70
    onna
    -0.67
    rex
    -0.66
    roll
    -0.62
    wives
    -0.61
    aler
    -0.61
    ulence
    -0.60
    peat
    -0.59
    roe
    -0.57
     Uriel
    -0.57
    POSITIVE LOGITS
     confines
    1.78
     bounds
    1.59
     boundaries
    1.37
     limits
    1.27
     constraints
    1.14
     framework
    1.10
     scope
    1.10
     borders
    1.09
     parameters
    1.07
     radius
    1.06
    Activations Density 0.122%

    No Known Activations