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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. 23255
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    Explanations

    phrases related to catching up or being caught up in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of catching up or keeping pace

    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
    die
    -0.60
    sburgh
    -0.59
     annex
    -0.59
    uble
    -0.57
     oversaw
    -0.57
     confir
    -0.56
    enstein
    -0.54
    INS
    -0.52
     coerc
    -0.52
    VP
    -0.51
    POSITIVE LOGITS
    phrase
    1.04
     glimps
    0.98
    tails
    0.81
     glimpse
    0.80
     wind
    0.79
    tail
    0.71
    footed
    0.71
     pneumonia
    0.70
    ph
    0.70
    izoph
    0.69
    Activations Density 0.044%

    No Known Activations