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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. 15089
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    Explanations

    the word "endless" followed by another word

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "endlessness" or continual states

    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
    acus
    -0.85
    Reviewed
    -0.85
    illard
    -0.84
    PI
    -0.79
    ained
    -0.77
    fman
    -0.76
    robe
    -0.75
    acist
    -0.72
    akers
    -0.72
    yer
    -0.72
    POSITIVE LOGITS
     repetition
    0.94
    ãĥ©ãĥ³
    0.81
    etheless
    0.79
     repet
    0.77
     plains
    0.76
    motion
    0.74
     gratification
    0.73
     loop
    0.73
     regress
    0.73
     loops
    0.73
    Activations Density 0.010%

    No Known Activations