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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. 20573
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    Explanations

    measurements or quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant quantities or amounts

    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
    ©¶æ
    -0.73
     Doodle
    -0.72
    ħĭ
    -0.69
    rones
    -0.68
    icer
    -0.65
    abad
    -0.62
    aring
    -0.62
    idden
    -0.61
    irs
    -0.61
    ļéĨĴ
    -0.60
    POSITIVE LOGITS
     (>
    0.88
     of
    0.78
     (~
    0.76
    UID
    0.67
    pour
    0.66
    bang
    0.65
    Sensor
    0.64
    ÙĪ
    0.62
     dmg
    0.62
    Lago
    0.60
    Activations Density 0.077%

    No Known Activations