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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. 15430
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    Explanations

    references to individuals' careers

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of 'career'

    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
     Lumpur
    -0.75
    egg
    -0.65
    akens
    -0.63
    agger
    -0.63
    perse
    -0.62
    appy
    -0.62
    ractive
    -0.61
     Spoon
    -0.60
    plet
    -0.59
    ACTED
    -0.58
    POSITIVE LOGITS
     predec
    0.79
     abroad
    0.79
    çīĪ
    0.77
    ahime
    0.76
     overseas
    0.74
    rities
    0.73
    span
    0.73
    advertising
    0.69
    wcs
    0.69
    politics
    0.69
    Activations Density 0.014%

    No Known Activations