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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. 21869
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    Explanations

    descriptions of historic buildings and landmarks

    oai_token-act-pair · gpt-3.5-turbo

    references to significant architectural landmarks

    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
    SPONSORED
    -0.77
    )."
    -0.69
    ]."
    -0.68
     ÂŃ
    -0.68
    —"
    -0.66
     traged
    -0.61
     anyway
    -0.61
     theirs
    -0.60
    ."
    -0.58
    ——
    -0.57
    POSITIVE LOGITS
    reetings
    0.65
    odore
    0.60
    akens
    0.60
    olina
    0.57
     Hilbert
    0.56
    olon
    0.53
    omy
    0.53
    iple
    0.52
    romy
    0.52
     Introduction
    0.52
    Activations Density 1.645%

    No Known Activations