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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. 10-RES-JB
    11. 4643
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    Explanations

    contractions of the word "do" with negative auxiliary verbs

    oai_token-act-pair · gpt-3.5-turbo

    negations and expressions of refusal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -1.01
     enthusi
    -0.96
    Þ
    -0.91
     pione
    -0.88
     newcom
    -0.87
    ò
    -0.85
    ñ
    -0.84
     exting
    -0.84
     princ
    -0.83
     withd
    -0.81
    POSITIVE LOGITS
    't
    1.79
    ned
    0.92
    ny
    0.84
    ÃŃ
    0.83
    ´
    0.75
    ning
    0.75
    uts
    0.74
    athan
    0.74
    nie
    0.74
    ighed
    0.73
    Activations Density 0.153%

    No Known Activations