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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
    11. 4756
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    INDEX
    Explanations

    words related to success, victory, and accomplishment

    oai_token-act-pair · gpt-3.5-turbo

    references to victory or success

    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
    pper
    -0.73
    esthetic
    -0.70
    ARP
    -0.69
    shapeshifter
    -0.68
    venants
    -0.68
    ©¶æ
    -0.67
    feet
    -0.66
    ħĭ
    -0.65
    BOOK
    -0.63
    UNCH
    -0.63
    POSITIVE LOGITS
    antly
    1.25
     triumph
    1.00
    atory
    0.87
    eous
    0.85
    son
    0.84
    antes
    0.83
    alist
    0.81
     Triumph
    0.80
    éĹĺ
    0.80
    ais
    0.79
    Activations Density 0.011%

    No Known Activations