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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12776
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    Explanations

    phrases related to physical places or discussions and questions about a specific topic

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey emotional depth or introspection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.69
    addon
    -0.59
    imately
    -0.57
    udeb
    -0.51
    Fed
    -0.51
    +.
    -0.50
    etheless
    -0.49
    SourceFile
    -0.49
    cms
    -0.48
    amount
    -0.48
    POSITIVE LOGITS
    )",
    0.67
    )"
    0.64
    )]
    0.62
    )?
    0.61
    )\
    0.59
    )|
    0.59
    )'
    0.57
    ?",
    0.53
    ),"
    0.53
     )]
    0.53
    Activations Density 2.706%

    No Known Activations