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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. 11-RES-JB
    11. 16472
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    Explanations

    locations or objects that are physically entered

    oai_token-act-pair · gpt-3.5-turbo

    physical locations and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opal
    -0.63
    ]}
    -0.61
    iHUD
    -0.61
    atem
    -0.60
    aughs
    -0.58
    endment
    -0.57
    Strike
    -0.56
     href
    -0.56
     rebuke
    -0.55
    ¥µ
    -0.54
    POSITIVE LOGITS
     undet
    1.24
     fray
    1.18
     unnoticed
    1.18
     unch
    0.99
     prematurely
    0.99
     bloodstream
    0.96
     unsc
    0.87
     territory
    0.84
     willingly
    0.84
     unprepared
    0.81
    Activations Density 0.284%

    No Known Activations