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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. 11-RES-JB
    11. 17383
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    INDEX
    Explanations

    phrases related to cause and effect

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant changes or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raf
    -0.78
    ctors
    -0.77
    api
    -0.74
    ©¶æ
    -0.73
    adr
    -0.70
    abase
    -0.70
    »Ĵ
    -0.69
    asonic
    -0.68
    fman
    -0.68
    tops
    -0.68
    POSITIVE LOGITS
     discrepancy
    1.46
     downfall
    1.42
     discrepancies
    1.28
     demise
    1.27
     reluctance
    1.18
     disappearance
    1.15
     uptick
    1.14
     predicament
    1.12
     delay
    1.11
     disparity
    1.11
    Activations Density 0.200%

    No Known Activations