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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. 10624
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    INDEX
    Explanations

    swear words or intense expressions

    oai_token-act-pair · gpt-3.5-turbo

    words related to effectiveness or efficiency, particularly associated with actions and efforts

    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
    BuyableInstoreAndOnline
    -0.74
    REDACTED
    -0.74
    ãĥ¯ãĥ³
    -0.72
    DragonMagazine
    -0.72
     guiActiveUnfocused
    -0.72
    OUP
    -0.71
    SpaceEngineers
    -0.68
     RIS
    -0.67
    Publisher
    -0.66
     antidepressants
    -0.66
    POSITIVE LOGITS
    endi
    1.05
    iency
    1.04
    rites
    1.00
    encing
    0.99
    luent
    0.97
    emin
    0.93
    iencies
    0.92
    itt
    0.90
    minist
    0.90
    ancies
    0.87
    Activations Density 0.007%

    No Known Activations