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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. 9-RES-JB
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    Explanations

    references to the Raspberry Pi computer

    oai_token-act-pair · gpt-3.5-turbo

    references to Raspberry Pi devices and related components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tin
    -0.99
    ttes
    -0.81
    ãĥĨãĤ£
    -0.77
     deed
    -0.72
    ahead
    -0.72
     Halls
    -0.71
    bourne
    -0.69
    marked
    -0.68
    cuts
    -0.68
    lined
    -0.68
    POSITIVE LOGITS
     Pis
    1.05
     Pi
    0.95
    Pi
    0.95
    ñ
    0.94
    ña
    0.91
    emon
    0.88
    MQ
    0.87
    PI
    0.84
    ode
    0.81
     pi
    0.81
    Activations Density 0.033%

    No Known Activations