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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. 3-RES-JB
    11. 5750
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    Explanations

    the pattern "te" followed by a variety of different suffixes or words

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tea" or related roots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hawks
    -0.75
    DragonMagazine
    -0.73
    etheless
    -0.70
     CVE
    -0.68
    âķIJ
    -0.67
     likelihood
    -0.66
     Predators
    -0.65
     Archdemon
    -0.65
    ãħĭ
    -0.65
    iasis
    -0.65
    POSITIVE LOGITS
    legram
    1.26
    legraph
    1.12
    achable
    1.09
    quila
    1.05
    pee
    1.01
    brate
    0.99
    eming
    0.94
    arers
    0.93
    uning
    0.92
    levision
    0.92
    Activations Density 0.004%

    No Known Activations