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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. 9337
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    INDEX
    Explanations

    mentions of different dialects and their analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to dialects and dialogues

    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
    STEM
    -0.84
    orthy
    -0.84
    ankind
    -0.75
    ulz
    -0.72
    Team
    -0.72
    thritis
    -0.70
    adow
    -0.69
    clipse
    -0.67
    EAR
    -0.66
    --+
    -0.66
    POSITIVE LOGITS
     dialect
    1.29
    naire
    0.88
    ical
    0.87
    ication
    0.82
    ics
    0.81
    ically
    0.81
    icians
    0.81
    dial
    0.79
    alog
    0.78
    utsch
    0.78
    Activations Density 0.013%

    No Known Activations