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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. 9-RES-JB
    11. 5475
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    Explanations

    adjectives that describe a high level of capability or positivity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of confinement or limitation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    utenberg
    -0.64
    uploads
    -0.60
     RELEASE
    -0.59
    uyomi
    -0.58
     Citiz
    -0.55
    Sexual
    -0.54
     ********************************
    -0.52
    joice
    -0.51
    clus
    -0.51
     UNESCO
    -0.51
    POSITIVE LOGITS
    "
    1.56
    "-
    1.47
    ''
    1.31
    "...
    1.25
    "'
    1.24
    »
    1.23
    "—
    1.23
    "!
    1.23
    "?
    1.19
    ":
    1.12
    Activations Density 0.737%

    No Known Activations