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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. 3433
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    Explanations

    phrases related to impactful actions or events

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions or movements

    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
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    No Comments

    Negative Logits
    isations
    -0.64
     concess
    -0.64
     Imran
    -0.63
    isation
    -0.62
     Aram
    -0.61
    opausal
    -0.61
     reconc
    -0.60
    icably
    -0.59
     Venezuel
    -0.59
    ised
    -0.59
    POSITIVE LOGITS
    down
    1.20
    able
    1.10
    stakes
    1.07
    ings
    1.06
    downs
    1.04
    ingly
    1.04
    stick
    1.02
    back
    1.01
    pipe
    0.99
    sticks
    0.98
    Activations Density 0.261%

    No Known Activations