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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. 6156
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    Explanations

    the word "tend" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    patterns or tendencies in behavior or outcomes

    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
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    No Comments

    Negative Logits
    gur
    -0.83
    arta
    -0.75
    lain
    -0.68
    yz
    -0.67
    fil
    -0.66
    videos
    -0.62
    ÄŁ
    -0.61
    zbek
    -0.59
    aredevil
    -0.59
    sung
    -0.58
    POSITIVE LOGITS
    rils
    1.26
    entious
    1.00
    ril
    0.93
    erest
    0.81
    erer
    0.80
    entimes
    0.78
    uce
    0.77
    erers
    0.76
     toward
    0.76
     towards
    0.73
    Activations Density 0.017%

    No Known Activations