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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11393
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    INDEX
    Explanations

    adjectives ending in '-ant', '-ish', or '-end'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to enthusiasm and exceptional quality

    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
    PLA
    -0.68
     Conway
    -0.67
     Zamb
    -0.62
     enqu
    -0.62
     delivery
    -0.61
     Mayo
    -0.60
     opposed
    -0.59
    querque
    -0.58
     Cheong
    -0.58
     silenced
    -0.57
    POSITIVE LOGITS
    ishly
    1.10
    astical
    1.06
    astic
    1.00
    itious
    0.94
    iman
    0.93
    leness
    0.87
    tails
    0.87
    ish
    0.85
    ini
    0.84
    oms
    0.84
    Activations Density 0.117%

    No Known Activations