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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. 19682
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    Explanations

    verbs related to starting or initiating actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to starting or initiating actions

    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
    avering
    -0.66
    umbo
    -0.63
     warehouses
    -0.62
    makers
    -0.62
    âĢ¢âĢ¢
    -0.61
    rooms
    -0.60
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.60
    Bey
    -0.58
    seeing
    -0.58
    yers
    -0.58
    POSITIVE LOGITS
     initi
    0.90
    TAIN
    0.90
    rative
    0.90
    phase
    0.83
    ãĥ¼ãĥ«
    0.82
    uates
    0.81
    chnology
    0.80
    uberty
    0.80
    aneously
    0.80
    itial
    0.79
    Activations Density 0.014%

    No Known Activations