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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. 1-RES-JB
    11. 7058
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    Explanations

    phrases or names accompanied by symbols like 'âĢĵ'

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols related to various contexts or subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.91
     exting
    -0.88
    conservancy
    -0.87
     proportion
    -0.77
    ordinate
    -0.75
    pping
    -0.74
     womb
    -0.73
     mistaken
    -0.73
     lifes
    -0.73
    ŃĶ
    -0.72
    POSITIVE LOGITS
    ––
    1.46
    ————
    1.02
    ————————
    1.01
    âĸº
    1.01
    ——
    1.01
    ————————————————
    0.90
    Maria
    0.81
    âĢķ
    0.81
    –
    0.80
    =-=-=-=-
    0.80
    Activations Density 0.074%

    No Known Activations