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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. 11-RES-JB
    11. 7846
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    Explanations

    terms related to speeds and data processing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to data transmission speeds and performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gey
    -0.65
    Theme
    -0.65
    pb
    -0.65
    nil
    -0.64
     Settlement
    -0.63
    bor
    -0.62
    bour
    -0.62
    Mist
    -0.62
    icans
    -0.62
    displayText
    -0.61
    POSITIVE LOGITS
     speeds
    1.35
     Mach
    1.12
     torque
    1.02
     temperatures
    0.96
     9000
    0.95
     4000
    0.94
     380
    0.94
     550
    0.94
     1050
    0.93
     2500
    0.93
    Activations Density 0.233%

    No Known Activations