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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. 2-RES-JB
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    Explanations

    numbers related to computer hardware specifications

    oai_token-act-pair · gpt-3.5-turbo

    technical measurements related to frequency, memory speed, and performance in computing systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     skelet
    -0.76
     Bagg
    -0.75
    olan
    -0.69
    gotten
    -0.68
    fell
    -0.68
    neau
    -0.67
    leans
    -0.66
    neys
    -0.66
    rio
    -0.66
    bor
    -0.65
    POSITIVE LOGITS
    MHz
    1.05
     MHz
    0.99
    rpm
    0.96
     Hz
    0.91
     volts
    0.88
    peed
    0.88
    cycles
    0.87
     rpm
    0.85
     ±
    0.81
    elsius
    0.80
    Activations Density 0.009%

    No Known Activations