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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. 11-RES-JB
    11. 16592
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    Explanations

    mention of the name "Henrik"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Hen

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hitch
    -0.68
     Postal
    -0.64
    INAL
    -0.63
     IST
    -0.63
    EED
    -0.62
     Mega
    -0.59
     RAD
    -0.59
     UTC
    -0.58
    terday
    -0.56
     Gravity
    -0.56
    POSITIVE LOGITS
    rique
    1.47
    rik
    1.46
    riks
    1.35
    ricks
    1.15
    ning
    1.13
    ric
    1.12
    rike
    1.07
    rick
    1.05
    sel
    1.03
    rys
    1.03
    Activations Density 0.037%

    No Known Activations