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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. 10-RES-JB
    11. 23477
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    Explanations

    terms related to negative sentiments or controversial topics

    oai_token-act-pair · gpt-3.5-turbo

    references to anti-Semitic sentiments and related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sins
    -0.72
     Suc
    -0.63
    ecause
    -0.61
    ĸļ
    -0.60
     Known
    -0.60
     Tycoon
    -0.59
    ODY
    -0.59
     resid
    -0.58
     Nights
    -0.56
    theless
    -0.54
    POSITIVE LOGITS
    abortion
    1.29
    establishment
    1.25
    war
    1.17
    -
    1.13
    -'
    1.07
    immigrant
    1.01
    -"
    1.01
    hero
    1.00
    union
    1.00
    Semitic
    0.98
    Activations Density 0.027%

    No Known Activations