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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. 7-RES-JB
    11. 190
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    oai_token-act-pair · gpt-3.5-turbo

    fragmented or incomplete words and symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Codec
    -0.79
     fortun
    -0.78
     Gundam
    -0.72
     sacrific
    -0.67
     seiz
    -0.61
     IPM
    -0.61
     amaz
    -0.61
     charm
    -0.60
     scram
    -0.60
     veget
    -0.60
    POSITIVE LOGITS
    thing
    0.84
    ould
    0.82
    uilt
    0.81
    them
    0.77
    fn
    0.76
    much
    0.75
    rough
    0.75
    rought
    0.74
    shall
    0.74
    tu
    0.74
    Activations Density 0.461%

    No Known Activations