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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. 2-RES-JB
    11. 18490
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    Explanations

    phrases that emphasize certainty or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the word "whatsoever" and phrases emphasizing absolute statements or negations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    po
    -0.80
    yi
    -0.79
    raz
    -0.76
    eds
    -0.74
    ku
    -0.74
    por
    -0.72
    hy
    -0.71
     Ou
    -0.71
    ett
    -0.71
    irs
    -0.69
    POSITIVE LOGITS
    soever
    1.42
     whatsoever
    1.20
    wcsstore
    1.04
    THING
    1.01
     else
    0.93
    ĸļ
    0.93
    £ı
    0.89
    etheless
    0.88
     imaginable
    0.85
     except
    0.81
    Activations Density 0.005%

    No Known Activations