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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. 6-RES-JB
    11. 13618
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    INDEX
    Explanations

    phrases related to routine actions or habits

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of daily occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itars
    -0.86
    emort
    -0.85
    itsch
    -0.75
    aeus
    -0.74
    atis
    -0.72
    emet
    -0.70
    DragonMagazine
    -0.70
    dinand
    -0.69
    tymology
    -0.69
    ounded
    -0.69
    POSITIVE LOGITS
     thereafter
    0.92
    motion
    0.91
     mornings
    0.84
    dream
    0.82
    days
    0.81
     waking
    0.77
    night
    0.77
    noon
    0.74
    theless
    0.70
     commute
    0.69
    Activations Density 0.033%

    No Known Activations