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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. 9-RES-JB
    11. 20283
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    INDEX
    Explanations

    adjectives describing size, quantity, or strength

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "sheer" magnitude or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afort
    -0.80
    sem
    -0.71
    interstitial
    -0.70
    ACP
    -0.69
    roe
    -0.69
    bucks
    -0.68
    uberty
    -0.68
    bye
    -0.66
    azine
    -0.66
    artments
    -0.65
    POSITIVE LOGITS
     quantity
    1.05
     impossibility
    1.02
     volume
    0.99
     unbeliev
    0.96
     necessity
    0.95
     absurdity
    0.95
     enorm
    0.90
     magnitude
    0.88
     amount
    0.88
    ity
    0.88
    Activations Density 0.025%

    No Known Activations