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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. 8-RES-JB
    11. 15056
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    Explanations

    phrases related to planning and organization

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to planning and organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terness
    -0.92
    gae
    -0.73
    ¿½
    -0.68
     cracked
    -0.67
    bery
    -0.67
    ©¶æ¥µ
    -0.65
    govtrack
    -0.65
    inguishable
    -0.65
    ĸļ
    -0.64
    cry
    -0.63
    POSITIVE LOGITS
     ACTIONS
    0.99
     itiner
    0.91
     contingency
    0.87
     trip
    0.81
     meetings
    0.81
     seating
    0.79
     evacuation
    0.79
     beforehand
    0.78
     retreat
    0.75
     calendars
    0.75
    Activations Density 0.454%

    No Known Activations