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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. 8-RES-JB
    11. 1735
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    Explanations

    the success and quality of films

    oai_token-act-pair · gpt-3.5-turbo

    terms related to film production and assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.75
     sensing
    -0.72
    ÄŁ
    -0.72
     wrists
    -0.70
     clamp
    -0.68
    Connector
    -0.68
    "]=>
    -0.67
     patrols
    -0.64
     Cantor
    -0.64
    claw
    -0.64
    POSITIVE LOGITS
     marketed
    0.95
     produ
    0.93
     plagiar
    0.83
     written
    0.83
     unfinished
    0.82
     judged
    0.81
     enjoyable
    0.79
     derivative
    0.79
     profitable
    0.79
     truthful
    0.79
    Activations Density 0.834%

    No Known Activations