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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. 11-RES-JB
    11. 11269
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    Explanations

    words related to problems or challenges

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to challenges or difficulties people experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scl
    -0.73
    allery
    -0.72
    aceae
    -0.70
    ãĥ¤
    -0.69
    AAA
    -0.69
    urse
    -0.68
    emonium
    -0.65
    ritz
    -0.65
    aez
    -0.65
    aic
    -0.64
    POSITIVE LOGITS
     distinguishing
    1.47
     figuring
    1.45
     finding
    1.44
     locating
    1.43
     adapting
    1.40
     adjusting
    1.36
     navigating
    1.34
     grasping
    1.32
     understanding
    1.32
     justifying
    1.30
    Activations Density 0.093%

    No Known Activations