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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. 6-RES-JB
    11. 11731
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    âĢİ
    -0.57
     âĢķ
    -0.57
     stronger
    -0.55
     —
    -0.53
     âĢİ
    -0.52
    fe
    -0.51
    0000000000000000
    -0.50
    ãĥīãĥ©ãĤ´ãĥ³
    -0.49
     ...
    -0.48
    cele
    -0.47
    POSITIVE LOGITS
    theless
    0.82
    intosh
    0.81
    etheless
    0.76
    anwhile
    0.75
    pite
    0.70
    uese
    0.67
    roma
    0.67
    culosis
    0.64
    foundland
    0.64
    MSN
    0.62
    Activations Density 0.289%

    No Known Activations