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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. 6033
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     disadvant
    -0.65
    ,,,,
    -0.58
    ".[
    -0.54
    bred
    -0.54
     grandchildren
    -0.54
     secondly
    -0.54
    Joined
    -0.54
    tes
    -0.53
     nominate
    -0.53
    ________________
    -0.52
    POSITIVE LOGITS
    PIN
    0.79
    ORPG
    0.66
     guiActiveUn
    0.65
    UFF
    0.64
    NPR
    0.64
    PN
    0.63
    ribune
    0.63
    çīĪ
    0.60
    gan
    0.60
    POL
    0.60
    Activations Density 0.071%

    No Known Activations