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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. 7203
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    INDEX
    Explanations

    numerical values presented with their approximate annotations

    oai_token-act-pair · gpt-3.5-turbo

    words related to approximation and proximity

    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
    Reviewer
    -0.91
     Purpose
    -0.75
    Interstitial
    -0.73
    çīĪ
    -0.72
    ATA
    -0.71
    SHIP
    -0.64
    NING
    -0.64
    20439
    -0.63
    Subject
    -0.62
    spot
    -0.60
    POSITIVE LOGITS
    imate
    1.22
    rox
    1.11
    imates
    1.08
    imating
    1.03
    actly
    0.99
    imation
    0.98
    imated
    0.87
    xon
    0.85
    imately
    0.84
    imus
    0.81
    Activations Density 0.003%

    No Known Activations