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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. 6-RES-JB
    11. 18682
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    INDEX
    Explanations

    adjectives related to strength and effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "robust" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fever
    -0.66
     clicked
    -0.65
     Khe
    -0.65
    parents
    -0.64
    ioxide
    -0.64
    ppers
    -0.62
    pper
    -0.62
     accidentally
    -0.61
    clips
    -0.60
     Suc
    -0.60
    POSITIVE LOGITS
    ly
    1.15
    ness
    1.04
    nesses
    0.98
    ively
    0.96
    edly
    0.93
    ament
    0.92
    mble
    0.91
    itude
    0.87
    enough
    0.84
     enough
    0.81
    Activations Density 0.020%

    No Known Activations