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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. 21771
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    INDEX
    Explanations

    mentions of experiences or instances of various events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "experienced" and related forms

    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
    corn
    -0.86
    hatt
    -0.77
    loader
    -0.76
    law
    -0.75
    trap
    -0.68
    laws
    -0.68
    enta
    -0.67
    iture
    -0.67
    loaded
    -0.66
    ef
    -0.66
    POSITIVE LOGITS
     firsthand
    1.14
     hardships
    0.84
    HAEL
    0.83
     difficulties
    0.81
    OOL
    0.76
     bouts
    0.76
     setbacks
    0.76
    iences
    0.74
     visions
    0.74
    ienced
    0.71
    Activations Density 0.039%

    No Known Activations