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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. 8-RES-JB
    11. 10951
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    Explanations

    words related to actions of stapling, closing, and locking

    oai_token-act-pair · gpt-3.5-turbo

    elements related to names or titles, particularly in the context of media or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.69
    ioxide
    -0.66
    âĵĺ
    -0.65
     Princ
    -0.63
     Supplemental
    -0.62
     Resp
    -0.61
    ĪĴ
    -0.60
    piration
    -0.60
     Sunshine
    -0.59
    ollar
    -0.58
    POSITIVE LOGITS
    inki
    0.72
    winter
    0.70
    ither
    0.69
    acan
    0.69
    annah
    0.68
    ards
    0.67
    ghan
    0.66
    itation
    0.66
    warts
    0.66
    ttle
    0.66
    Activations Density 0.124%

    No Known Activations