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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. 1-RES-JB
    11. 16332
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    Explanations

    references to migrants and their experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to migrants and migration issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rah
    -0.75
    EXT
    -0.70
    INA
    -0.69
    NESS
    -0.67
    Sensor
    -0.67
    ventory
    -0.65
    MOD
    -0.65
    REE
    -0.65
    POSE
    -0.64
    efer
    -0.64
    POSITIVE LOGITS
     migrants
    1.31
     migrant
    1.14
     Refugees
    0.98
     refugees
    0.97
    igrants
    0.92
    ugg
    0.85
     smugglers
    0.84
    interstitial
    0.83
     fleeing
    0.82
    ploy
    0.80
    Activations Density 0.013%

    No Known Activations