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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. 17266
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    INDEX
    Explanations

    words related to incitement or stimulus

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "prompted" indicating causation or reactions to events

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    endi
    -0.63
     Leaves
    -0.61
    thin
    -0.60
    ©¶æ
    -0.59
    ihar
    -0.58
     Kernel
    -0.56
    urgy
    -0.56
     Smoking
    -0.56
     Corpse
    -0.56
     entirety
    -0.56
    POSITIVE LOGITS
     prompts
    1.11
     prompt
    1.03
     prompting
    1.01
     prompted
    1.00
     sparking
    0.86
    iration
    0.85
     showc
    0.84
    actionDate
    0.82
     provoke
    0.81
     sparked
    0.78
    Activations Density 0.011%

    No Known Activations