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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. 7-RES-JB
    11. 2292
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    Explanations

    phrases related to financial and technical topics

    oai_token-act-pair · gpt-3.5-turbo

    aspects related to financial crises and economic conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    `.
    -0.62
    clusively
    -0.59
    ".
    -0.58
    ],"
    -0.56
     ASAP
    -0.56
    '.
    -0.56
    $.
    -0.56
     unnecessarily
    -0.55
    ratom
    -0.54
     Calais
    -0.52
    POSITIVE LOGITS
     meanwhile
    0.67
     corresponds
    0.57
     seemed
    0.57
     tends
    0.57
     retains
    0.54
     disappears
    0.54
     forbids
    0.52
     consists
    0.52
     seems
    0.52
     flowed
    0.51
    Activations Density 1.721%

    No Known Activations