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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. 0-RES-JB
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    Explanations

    instances of the phrase "learning curve."

    oai_token-act-pair · gpt-3.5-turbo

    references to "curve" and variations of it in various contexts, particularly emphasizing learning curves

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isodes
    -0.65
     Mans
    -0.64
     Ans
    -0.63
     Isa
    -0.62
     Pets
    -0.61
     Pag
    -0.61
     Absent
    -0.61
     Liberation
    -0.60
    kie
    -0.59
    Prop
    -0.58
    POSITIVE LOGITS
     curve
    4.38
     curves
    3.40
     Curve
    3.10
    cur
    1.52
     curved
    1.43
     curv
    1.37
     slider
    1.22
     slope
    1.20
    Cur
    1.10
     envelope
    1.05
    Activations Density 0.019%

    No Known Activations