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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. 6-RES-JB
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Henrik."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.74
    EED
    -0.73
    eele
    -0.72
     conclud
    -0.71
    ateral
    -0.70
    Sax
    -0.66
    Reference
    -0.63
    anwhile
    -0.63
    ENTS
    -0.63
    pmwiki
    -0.62
    POSITIVE LOGITS
    rique
    1.27
    ning
    1.03
    riks
    1.00
    rik
    0.99
    sel
    0.97
    agar
    0.96
    lein
    0.94
    etr
    0.93
    ricks
    0.92
    ric
    0.92
    Activations Density 0.027%

    No Known Activations