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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. 23296
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    Explanations

    words related to specific individuals or concepts with unique names or terms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 't'

    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
     tremend
    -0.87
     behavi
    -0.84
     mosqu
    -0.83
    EStream
    -0.81
     destro
    -0.79
     Skydragon
    -0.79
     resil
    -0.78
    ĪĴ
    -0.76
     hemor
    -0.75
    ħĭ
    -0.71
    POSITIVE LOGITS
    ractor
    1.17
    ribute
    1.15
    ruck
    1.14
    ract
    1.11
    ween
    1.10
    olkien
    1.09
    asks
    1.08
    uple
    1.07
    aken
    1.06
    akers
    1.04
    Activations Density 0.149%

    No Known Activations