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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. 22644
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    Explanations

    phrases related to processes or methods

    oai_token-act-pair · gpt-3.5-turbo

    terms related to methods or processes

    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
    pees
    -0.83
    jriwal
    -0.80
    owship
    -0.74
    rament
    -0.74
    usercontent
    -0.72
    chuk
    -0.71
    inge
    -0.71
     peninsula
    -0.70
     Rebell
    -0.69
    lees
    -0.67
    POSITIVE LOGITS
     ACTIONS
    0.94
    ĨĴ
    0.90
     assigning
    0.72
     modifying
    0.71
     determining
    0.70
    urally
    0.69
     adaptation
    0.67
     selecting
    0.67
    ohm
    0.67
    Management
    0.67
    Activations Density 0.838%

    No Known Activations