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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. 6-RES-JB
    11. 18909
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    Explanations

    phrases related to significant negative events or consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant issues or challenges affecting groups or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    querque
    -0.80
    cles
    -0.76
    zona
    -0.69
    soDeliveryDate
    -0.67
    Å¡
    -0.66
    Room
    -0.66
    Amb
    -0.64
     danced
    -0.62
    qi
    -0.61
    gdala
    -0.61
    POSITIVE LOGITS
    bidden
    1.10
    geries
    1.08
    gotten
    1.02
    gery
    0.98
     starters
    0.98
     purposes
    0.94
     awhile
    0.83
     generations
    0.82
     instance
    0.81
     everyone
    0.80
    Activations Density 0.170%

    No Known Activations