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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
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    oai_token-act-pair · gpt-3.5-turbo

    Italian words related to health or ailments

    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
    lished
    -0.70
     Token
    -0.69
    orial
    -0.68
    taining
    -0.68
     DPR
    -0.67
    cycles
    -0.67
     Strait
    -0.66
    ramid
    -0.66
    rano
    -0.65
     Nurs
    -0.64
    POSITIVE LOGITS
    ibrary
    1.13
    vl
    1.12
    uminati
    1.02
    ounge
    0.84
    ength
    0.84
    iquid
    0.84
    estial
    0.83
    iberal
    0.83
    umin
    0.82
    uggage
    0.79
    Activations Density 0.019%

    No Known Activations