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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. 5-RES-JB
    6. 16157
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    INDEX
    Explanations

    fragments or incomplete pieces

    oai_token-act-pair · gpt-3.5-turbo

    words related to fragments or fragmentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reon
    -0.78
    know
    -0.77
    OPA
    -0.74
    Keefe
    -0.72
    rol
    -0.71
    kins
    -0.70
    orney
    -0.69
    perature
    -0.68
    Demand
    -0.68
    sburgh
    -0.68
    POSITIVE LOGITS
     fragments
    1.12
     fragment
    0.93
     Frag
    0.89
     ILCS
    0.85
    atis
    0.84
     fragmented
    0.81
    mentation
    0.80
    bite
    0.79
    glass
    0.79
     shards
    0.76
    Activations Density 0.020%

    No Known Activations