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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. 6-RES-JB
    11. 20351
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    Explanations

    phrases relating to the outcome or result of a process or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating outcomes or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tics
    -0.86
    ifying
    -0.78
    fing
    -0.77
    gged
    -0.75
    ifications
    -0.74
    ification
    -0.70
    rets
    -0.69
    ending
    -0.68
    gging
    -0.67
    apt
    -0.67
    POSITIVE LOGITS
     conco
    0.80
     CLSID
    0.76
     chaos
    0.73
     pandemonium
    0.72
     hilar
    0.71
    natureconservancy
    0.71
     mixture
    0.70
     confusion
    0.69
     equations
    0.68
     catastrophe
    0.66
    Activations Density 0.035%

    No Known Activations