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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
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    Explanations

    politicians' names

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to public figures and noise or sound-related words

    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
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    No Comments

    Negative Logits
    ĵĺ
    -0.66
    ï¸ı
    -0.64
    Inv
    -0.63
     GOODMAN
    -0.60
    gew
    -0.59
    âķIJâķIJ
    -0.57
    ————————
    -0.55
     Prem
    -0.54
     Volunte
    -0.54
    âĢ
    -0.53
    POSITIVE LOGITS
    rite
    0.74
    yang
    0.69
    iland
    0.68
     peripher
    0.64
    ilings
    0.62
    eers
    0.62
     hers
    0.61
     pony
    0.60
     Weasley
    0.60
    ilater
    0.60
    Activations Density 1.704%

    No Known Activations