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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. 9-RES-JB
    11. 20026
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    Explanations

    reference to specific quantities or entities such as names, numbers, and measurements

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to sports statistics and events

    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
    esides
    -0.69
    ãĤ´ãĥ³
    -0.55
    portation
    -0.51
    76561
    -0.51
     PID
    -0.50
    hers
    -0.49
    adena
    -0.48
    hat
    -0.48
     resil
    -0.48
     thous
    -0.48
    POSITIVE LOGITS
     (
    1.76
     (?,
    1.41
    (
    1.38
     (!
    1.37
     (_
    1.35
     (.
    1.35
     ([
    1.34
     (-
    1.34
     (/
    1.33
     ('
    1.31
    Activations Density 0.325%

    No Known Activations