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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. 1330
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    Explanations

    references to the supply, providing, or distribution of items or services

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of providing or supplying items, particularly in a context involving weapons or materials

    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
    pan
    -0.75
    child
    -0.70
     Blazers
    -0.70
    bull
    -0.69
    ger
    -0.67
    itect
    -0.67
    HUD
    -0.66
    phase
    -0.66
    walker
    -0.66
     Nanto
    -0.65
    POSITIVE LOGITS
     supplied
    0.96
     supplying
    0.95
    ãĥ¯
    0.76
    ãĥ¼ãĥĨãĤ£
    0.71
     piping
    0.71
    ãĥij
    0.70
    cliffe
    0.69
     shortages
    0.69
     sust
    0.69
     shocks
    0.66
    Activations Density 0.014%

    No Known Activations