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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
    11. 13662
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    content that indicates the presence or description of various subjects or entities

    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
    FI
    -0.56
    olini
    -0.54
    FIX
    -0.54
    fix
    -0.53
    BLE
    -0.51
    UNE
    -0.51
    代
    -0.51
    fixes
    -0.48
    ashtra
    -0.48
     AMERICA
    -0.47
    POSITIVE LOGITS
     detrim
    0.56
     resemblance
    0.48
     recoil
    0.46
    blance
    0.45
     recreate
    0.44
     belie
    0.43
     likeness
    0.43
    rocal
    0.42
    ĸļ
    0.42
     attraction
    0.42
    Activations Density 0.297%

    No Known Activations