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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. 10-RES-JB
    11. 5157
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    Explanations

    phrases related to logical reasoning and analysis

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to plans, logical arguments, and analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ÂŃ
    -0.68
    aque
    -0.65
    displayText
    -0.61
    ĪĴ
    -0.59
    ASHINGTON
    -0.58
    ACA
    -0.58
     legislative
    -0.56
    unicip
    -0.55
    WASHINGTON
    -0.55
    iane
    -0.55
    POSITIVE LOGITS
     haha
    1.07
     ;)
    1.01
     kinda
    0.99
     tho
    0.98
     lol
    0.98
     ðŁĻĤ
    0.91
     :)
    0.90
     alot
    0.90
     ðŁĺ
    0.88
     dude
    0.84
    Activations Density 0.681%

    No Known Activations