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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
    11. 21080
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    Explanations

    references to internet speed measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to internet or data transmission speeds

    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
    oral
    -0.75
    orical
    -0.70
    lder
    -0.68
    pha
    -0.67
    mor
    -0.66
    arl
    -0.66
    alg
    -0.65
    pty
    -0.65
    apple
    -0.64
    esan
    -0.64
    POSITIVE LOGITS
     speeds
    1.34
    peed
    1.18
     speed
    0.97
     acceleration
    0.86
    pread
    0.84
    utenberg
    0.84
     sped
    0.84
     slows
    0.81
    ocity
    0.81
    Upload
    0.80
    Activations Density 0.010%

    No Known Activations