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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. 10-RES-JB
    11. 21682
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    INDEX
    Explanations

    phrases indicating a specific time frame or rate of occurrence

    oai_token-act-pair · gpt-3.5-turbo

    the word "within" and its variations, indicating a focus on time or spatial context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    intendent
    -0.67
    ãĤ·ãĥ£
    -0.67
    mist
    -0.65
    nery
    -0.63
    rog
    -0.63
    ador
    -0.63
    Definition
    -0.62
    disk
    -0.62
    tec
    -0.62
    HD
    -0.62
    POSITIVE LOGITS
     parentheses
    0.85
     bounds
    0.85
     seconds
    0.81
     spitting
    0.77
     confines
    0.77
     minutes
    0.76
     the
    0.74
     milliseconds
    0.72
     precincts
    0.71
     limits
    0.70
    Activations Density 0.040%

    No Known Activations