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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. 23755
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    Explanations

    sentences structured as if spoken by someone expressing thoughts and opinions

    oai_token-act-pair · gpt-3.5-turbo

    repeated expressions of negation or denial

    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
     relative
    -0.65
     casc
    -0.62
     freed
    -0.61
     leading
    -0.59
     overturned
    -0.58
     reduced
    -0.58
     Prism
    -0.57
     Jihad
    -0.57
     complementary
    -0.56
     RAD
    -0.56
    POSITIVE LOGITS
    t
    1.25
    tarian
    0.99
    tis
    0.93
    uable
    0.90
    ieve
    0.90
    tes
    0.89
    swer
    0.89
    ve
    0.88
    ves
    0.88
    want
    0.87
    Activations Density 0.122%

    No Known Activations