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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. 4-RES-JB
    11. 16076
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    Explanations

    phrases related to unloading or loading items, especially heavy ones

    oai_token-act-pair · gpt-3.5-turbo

    terms related to unloading or loading processes

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

    No Comments

    Negative Logits
    adal
    -0.67
     ster
    -0.66
     Hib
    -0.65
    agara
    -0.65
    bered
    -0.64
    berra
    -0.63
     Voices
    -0.63
     Schwarz
    -0.62
    perty
    -0.62
    vision
    -0.61
    POSITIVE LOGITS
    loads
    1.08
    load
    1.02
    loading
    0.99
    ocalypse
    0.94
     loads
    0.90
    enger
    0.83
     crates
    0.83
    rez
    0.82
    INESS
    0.82
    stakes
    0.80
    Activations Density 0.015%

    No Known Activations