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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. 2-RES-JB
    11. 7896
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    Explanations

    approximate values or estimations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to approximation and measurement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.92
    stru
    -0.75
    keeper
    -0.73
    ality
    -0.71
    rums
    -0.70
    LINE
    -0.69
    cloth
    -0.69
    gae
    -0.69
    glass
    -0.69
     Tid
    -0.68
    POSITIVE LOGITS
    imates
    1.38
    imating
    1.17
    imate
    1.13
    imated
    1.11
     approximate
    1.08
     approx
    1.00
    rox
    0.97
    imation
    0.93
    imately
    0.83
    Ń·
    0.81
    Activations Density 0.011%

    No Known Activations