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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. 8-RES-JB
    11. 18658
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    Explanations

    words related to physical locations where activities are taking place

    oai_token-act-pair · gpt-3.5-turbo

    phrases and actions related to sitting or being in a room, often in a communal or reflective context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.68
     Retail
    -0.68
    END
    -0.68
    FK
    -0.67
     Airways
    -0.64
     MU
    -0.60
     FAR
    -0.60
    erity
    -0.60
    end
    -0.60
    Adds
    -0.60
    POSITIVE LOGITS
     surrounded
    0.87
     gazing
    0.84
     silently
    0.83
    ertodd
    0.80
     stared
    0.79
     staring
    0.78
     passively
    0.78
     stares
    0.75
     gazed
    0.75
     vigil
    0.75
    Activations Density 0.524%

    No Known Activations