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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. 3-RES-JB
    11. 16046
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    Explanations

    words related to geographical locations, particularly the Pyrenees and names of people or characters ending with 'rene' and 'yne'

    oai_token-act-pair · gpt-3.5-turbo

    words related to the chemical compound polystyrene

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endi
    -0.86
    ramid
    -0.86
    anooga
    -0.83
    abit
    -0.79
    pole
    -0.78
    amous
    -0.75
    rams
    -0.75
    inement
    -0.74
    emonium
    -0.73
    ibur
    -0.72
    POSITIVE LOGITS
     Galile
    0.87
     Normandy
    0.81
    gger
    0.80
    bane
    0.77
     Rover
    0.73
    uther
    0.69
    vable
    0.68
     Mercenary
    0.67
     Basin
    0.67
    esan
    0.66
    Activations Density 0.028%

    No Known Activations