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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. 7-RES-JB
    11. 13508
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    Explanations

    phrases related to taking action

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around the concept of "getting on" or moving forward with an action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     localization
    -0.62
     sparing
    -0.60
     Mandarin
    -0.59
     omission
    -0.56
     Methods
    -0.55
     cryptic
    -0.55
     locale
    -0.55
     Detected
    -0.54
     caution
    -0.53
    WARE
    -0.53
    POSITIVE LOGITS
    eline
    0.82
    udeb
    0.75
    soc
    0.73
    abit
    0.72
    andro
    0.70
    eworld
    0.69
    clerosis
    0.68
    itiveness
    0.67
     foothold
    0.65
    touch
    0.65
    Activations Density 0.045%

    No Known Activations