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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. 17210
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    Explanations

    mentions of maps

    oai_token-act-pair · gpt-3.5-turbo

    references to maps in various contexts

    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
    ndra
    -0.83
    aneous
    -0.81
    nuts
    -0.79
    icer
    -0.79
    nder
    -0.78
    ership
    -0.71
    ruciating
    -0.70
    weeney
    -0.70
    idth
    -0.69
    æł
    -0.69
    POSITIVE LOGITS
    ographer
    0.95
     map
    0.82
    map
    0.81
    makers
    0.78
    maker
    0.76
     maps
    0.74
     Map
    0.73
     tiles
    0.73
     Reduce
    0.72
    uto
    0.71
    Activations Density 0.036%

    No Known Activations