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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. 7160
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    Explanations

    verbs related to various physical actions that involve emission or dispersal

    oai_token-act-pair · gpt-3.5-turbo

    words related to emissions or discharges

    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
    ĻĤ
    -0.81
    itsu
    -0.73
     Skydragon
    -0.66
    ©¶æ
    -0.65
    leans
    -0.64
    emate
    -0.63
    udeau
    -0.62
     indemn
    -0.61
    oto
    -0.60
    Ń·
    -0.60
    POSITIVE LOGITS
    interstitial
    0.90
     forth
    0.86
    govtrack
    0.77
    BuyableInstoreAndOnline
    0.68
    osi
    0.67
    ORN
    0.66
    dash
    0.66
     brim
    0.65
    hower
    0.65
     disinformation
    0.65
    Activations Density 0.115%

    No Known Activations