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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. 11474
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    Explanations

    terms related to intercepting communication or objects

    oai_token-act-pair · gpt-3.5-turbo

    words related to interception or monitoring communications

    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
    Aid
    -0.78
    Graph
    -0.70
    adders
    -0.68
    Electric
    -0.65
    chn
    -0.65
    bold
    -0.64
     Alcohol
    -0.62
    itsch
    -0.61
    blood
    -0.61
    illusion
    -0.59
    POSITIVE LOGITS
     intercept
    1.04
     intercepted
    1.00
    ibles
    0.83
    ezvous
    0.78
     eaves
    0.78
    IBLE
    0.73
    racuse
    0.73
    rons
    0.72
    antly
    0.72
     tapes
    0.72
    Activations Density 0.012%

    No Known Activations