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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. 12419
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    Explanations

    command verbs or suggestions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that imply advice or suggestions for consideration

    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
     fixme
    -0.66
    eus
    -0.64
     brow
    -0.62
    FIL
    -0.61
    RAY
    -0.60
     mamm
    -0.59
    ea
    -0.59
    EStream
    -0.59
     crane
    -0.59
    IRD
    -0.58
    POSITIVE LOGITS
    ations
    1.59
    ational
    1.50
    ances
    1.36
    ings
    1.30
    ants
    1.26
    ables
    1.26
    atory
    1.20
    ation
    1.18
    able
    1.16
    ative
    1.12
    Activations Density 0.041%

    No Known Activations