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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. 9-RES-JB
    11. 22847
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    Explanations

    mentions of separate entities or divisions

    oai_token-act-pair · gpt-3.5-turbo

    the concept of separation or division

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eno
    -0.79
    Ö¼
    -0.71
    enos
    -0.65
     Beans
    -0.63
    ISTER
    -0.60
     onwards
    -0.59
    eny
    -0.59
    vous
    -0.59
    amac
    -0.59
     Phelps
    -0.59
    POSITIVE LOGITS
    iates
    0.87
     separate
    0.82
    iations
    0.81
     batches
    0.80
    iating
    0.80
     entity
    0.79
    ively
    0.79
     entities
    0.78
    worldly
    0.78
     administrations
    0.77
    Activations Density 0.044%

    No Known Activations