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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
    11. 11106
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    Explanations

    the name "Siro" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of a specific name or term related to a person or concept

    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
    ervative
    -0.88
    iple
    -0.75
    ŃĶ
    -0.74
    orthern
    -0.72
    ennett
    -0.70
    ingham
    -0.68
     Arbor
    -0.67
    plain
    -0.65
     sockets
    -0.65
    enberg
    -0.64
    POSITIVE LOGITS
    zzi
    1.13
    phant
    1.09
    tto
    1.01
    zes
    0.94
    lette
    0.93
    iro
    0.90
    dden
    0.88
    vable
    0.85
    tti
    0.85
    pees
    0.82
    Activations Density 0.008%

    No Known Activations