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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19202
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ń·
    -1.21
    İĭ
    -1.02
    ĪĴ
    -0.96
    Ͻ
    -0.87
    ĸļ
    -0.83
    ¿½
    -0.81
    ©¶æ¥µ
    -0.80
    ±
    -0.79
    »Ĵ
    -0.78
    ãĥ¼ãĥĨ
    -0.78
    POSITIVE LOGITS
    âĨ
    0.71
    tracks
    0.64
    Cour
    0.63
    report
    0.63
    ourt
    0.62
    leader
    0.59
     Panc
    0.59
     Gathering
    0.58
     =>
    0.58
    },"
    0.57
    Activations Density 0.060%

    No Known Activations