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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. 4-RES-JB
    11. 16206
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    Explanations

    references to aircraft operations, including takeoff and landing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to landing and takeoff in aviation contexts

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

    No Comments

    Negative Logits
    女
    -0.89
    ythm
    -0.76
    ĸļ
    -0.74
    MpServer
    -0.73
    Ô
    -0.73
    é¾į
    -0.72
    hift
    -0.71
    vernment
    -0.71
    umbn
    -0.70
    Wa
    -0.70
    POSITIVE LOGITS
     landing
    0.95
    plane
    0.81
     Landing
    0.79
     pods
    0.76
    locked
    0.74
    lift
    0.70
     Orbit
    0.68
     docks
    0.68
     ashore
    0.68
    mass
    0.68
    Activations Density 0.012%

    No Known Activations