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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of the location "Bristol" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the cities Bristol and Leeds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    colored
    -0.78
    pee
    -0.77
     âĢķ
    -0.75
     $$
    -0.71
     Yu
    -0.68
     labeled
    -0.68
    nas
    -0.68
     colored
    -0.67
     ++
    -0.65
    iu
    -0.65
    POSITIVE LOGITS
     Bristol
    3.04
     Nottingham
    2.59
     Brighton
    2.56
     Leeds
    2.42
     Cardiff
    2.30
     Sheffield
    2.24
     Leicester
    2.11
     Norwich
    2.11
     Portsmouth
    2.07
     Swansea
    2.00
    Activations Density 0.038%

    No Known Activations