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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. 7-RES-JB
    11. 10981
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    INDEX
    Explanations

    speed and amount measurements, such as speed in kilometers per hour or amount in barrels per day

    oai_token-act-pair · gpt-3.5-turbo

    time-related measurements and units

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.74
    reth
    -0.71
    itialized
    -0.70
     Roose
    -0.66
    ĪĴ
    -0.66
    ERY
    -0.65
     redes
    -0.65
    bley
    -0.62
    gotten
    -0.61
    gone
    -0.61
    POSITIVE LOGITS
     (~
    0.87
     thereafter
    0.82
    ²
    0.79
    âĪĴ
    0.79
     increments
    0.77
    [/
    0.70
     whatsoever
    0.67
     average
    0.66
     ("
    0.66
    ilo
    0.65
    Activations Density 0.051%

    No Known Activations