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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. 4-RES-JB
    11. 15550
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    Explanations

    words related to legal or criminal contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to connections or relationships between events and individuals

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

    No Comments

    Negative Logits
    stall
    -0.82
    egg
    -0.75
    uck
    -0.74
    inse
    -0.74
    avorite
    -0.73
    inx
    -0.70
     preached
    -0.69
    apego
    -0.68
    flo
    -0.67
    inho
    -0.66
    POSITIVE LOGITS
     cases
    0.75
     Cases
    0.75
     thereto
    0.74
    charges
    0.72
     connection
    0.72
    formance
    0.69
     repayment
    0.69
    ance
    0.68
     instances
    0.67
     ties
    0.67
    Activations Density 0.021%

    No Known Activations