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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. 9-RES-JB
    11. 23563
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    Explanations

    officials and investigators mentioned in the context of incidents or investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to officials and investigators in a context related to legal or investigative situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gets
    -0.76
    Translation
    -0.72
    ABLE
    -0.69
    series
    -0.68
    âĶĢâĶĢâĶĢâĶĢ
    -0.67
    CLASSIFIED
    -0.67
    Impro
    -0.67
    comes
    -0.65
    QL
    -0.65
    xe
    -0.64
    POSITIVE LOGITS
     allege
    1.07
     speculate
    1.01
     encount
    0.96
     contend
    0.94
     concluded
    0.92
     believe
    0.91
     confir
    0.90
     traced
    0.90
     raided
    0.90
     tallied
    0.89
    Activations Density 0.113%

    No Known Activations