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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. 10-RES-JB
    11. 5679
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    INDEX
    Explanations

    phrases related to negative consequences or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases detailing various forms of distress or suffering experienced by individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vre
    -0.70
    roy
    -0.69
    roach
    -0.68
    wire
    -0.67
    oret
    -0.63
    hare
    -0.63
    dry
    -0.62
    poon
    -0.62
    istics
    -0.62
    nec
    -0.62
    POSITIVE LOGITS
     accompanies
    1.53
     surrounds
    1.34
     ensued
    1.25
     accompany
    1.23
     awaits
    1.21
     occurs
    1.15
     arises
    1.14
     arose
    1.11
     transpired
    1.08
     entails
    1.08
    Activations Density 0.124%

    No Known Activations