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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. 21250
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    Explanations

    phrases related to geographical locations, especially mountains and wilderness

    oai_token-act-pair · gpt-3.5-turbo

    mentions of mountains and remote natural areas

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Emails
    -0.75
    wcsstore
    -0.74
    Counter
    -0.69
    Charges
    -0.68
    ploma
    -0.66
     tickets
    -0.66
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     attendance
    -0.64
    Staff
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    POSITIVE LOGITS
     valleys
    1.14
     mountainous
    1.12
     canyon
    1.11
     wilderness
    1.09
     valley
    1.09
     caves
    1.08
     inhabited
    1.07
     footh
    1.06
     hills
    1.05
     mountains
    1.05
    Activations Density 0.320%

    No Known Activations