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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. 13596
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    Explanations

    tech-related keywords and programming terms

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or conditions, particularly in a political or environmental context

    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
    Wil
    -0.81
    ELF
    -0.81
    llan
    -0.78
     Wit
    -0.78
     Carolyn
    -0.77
     McL
    -0.77
    PN
    -0.76
    acebook
    -0.75
     kW
    -0.74
    VG
    -0.74
    POSITIVE LOGITS
     crash
    0.96
     attack
    0.96
     theft
    0.88
     crime
    0.87
     ambush
    0.84
     abuse
    0.84
     massacre
    0.84
     poisoning
    0.84
     accident
    0.83
     offence
    0.83
    Activations Density 0.460%

    No Known Activations