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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16078
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    Explanations

    words related to measurement, particularly indicating a quantity or size, such as 'half', 'three', 'eight', etc

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements related to timeframes

    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
    PsyNetMessage
    -0.79
     tabs
    -0.69
    DERR
    -0.69
    çͰ
    -0.67
    umbn
    -0.67
    berus
    -0.66
     IPM
    -0.65
    çīĪ
    -0.65
     Tuls
    -0.63
    auder
    -0.63
    POSITIVE LOGITS
    ccording
    1.06
    dozen
    1.02
    Lago
    0.91
    few
    0.90
    la
    0.88
    century
    0.85
    die
    0.81
    pill
    0.81
    compl
    0.81
    lot
    0.80
    Activations Density 0.028%

    No Known Activations