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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. 12-RES-JB
    11. 2845
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    Explanations

    words related to dedication or commitment, particularly in a social or political context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating commitment or dedication to a cause or task

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CHA
    -0.74
    FORE
    -0.68
    steen
    -0.67
    ileaks
    -0.66
    COL
    -0.64
    aptic
    -0.64
    onductor
    -0.61
    hello
    -0.61
    WARN
    -0.60
    behind
    -0.59
    POSITIVE LOGITS
     exclusively
    0.87
     solely
    0.84
     blame
    0.83
     resources
    0.80
     duties
    0.79
     tasks
    0.75
    ciating
    0.74
     space
    0.74
     devoted
    0.74
     attention
    0.71
    Activations Density 0.125%

    No Known Activations