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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. 5128
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    Explanations

    phrases related to providing information or instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating things to consider or take note of

    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
    quickShipAvailable
    -0.68
    eneg
    -0.62
    arity
    -0.62
    Sold
    -0.60
    ammed
    -0.59
    nered
    -0.58
     remnants
    -0.58
    raped
    -0.56
     illusions
    -0.56
     tracts
    -0.54
    POSITIVE LOGITS
     consider
    1.27
     watch
    1.27
     beware
    1.26
     ponder
    1.11
     note
    1.06
     remember
    1.06
     worry
    1.05
     keep
    1.03
     Consider
    1.02
     avoid
    1.00
    Activations Density 0.068%

    No Known Activations