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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. 8-RES-JB
    11. 8009
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    INDEX
    Explanations

    phrases or sentences ending with strong emotional impact or a climax

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "end" or its variations, indicating conclusions or conclusions of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esis
    -0.65
    esome
    -0.62
     broom
    -0.61
    hee
    -0.61
    atts
    -0.60
    atu
    -0.60
    ppa
    -0.59
     figure
    -0.59
    ority
    -0.59
    ibilities
    -0.58
    POSITIVE LOGITS
    angering
    1.06
     abruptly
    1.04
     prematurely
    0.99
    angers
    0.92
     tragically
    0.87
    owment
    0.85
    orses
    0.83
    eared
    0.81
    ocrin
    0.78
    ear
    0.75
    Activations Density 0.043%

    No Known Activations