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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. 1-RES-JB
    11. 7173
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    Explanations

    words related to locations or venues

    oai_token-act-pair · gpt-3.5-turbo

    words related to softness or comfort

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.86
     TRI
    -0.72
    Aid
    -0.72
    forms
    -0.69
    FORM
    -0.67
    ãģķ
    -0.66
    >>>>>>>>
    -0.65
    taboola
    -0.65
     TAMADRA
    -0.65
     Jav
    -0.64
    POSITIVE LOGITS
    entimes
    1.22
    rait
    1.06
    oft
    1.01
    terness
    0.90
    romeda
    0.89
    rack
    0.85
    rue
    0.82
    ravel
    0.81
    hered
    0.79
    ilege
    0.78
    Activations Density 0.005%

    No Known Activations