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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. 4-RES-JB
    11. 15489
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    Explanations

    words related to emergency responses, like sirens, dispatchers, and callers

    oai_token-act-pair · gpt-3.5-turbo

    references to emergency services and their related activities

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

    No Comments

    Negative Logits
    eneg
    -0.78
    lege
    -0.74
    berman
    -0.73
    ¥
    -0.72
    ±
    -0.71
    ĵ
    -0.70
    union
    -0.70
    absolute
    -0.69
    rival
    -0.67
    ĵĺ
    -0.67
    POSITIVE LOGITS
    iren
    1.09
    irens
    1.05
    unci
    0.91
     warnings
    0.89
     caller
    0.83
    gency
    0.76
    unciation
    0.76
     sidx
    0.74
     alarms
    0.72
    Song
    0.71
    Activations Density 0.024%

    No Known Activations