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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. 5203
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    Explanations

    phrases related to attempts, actions, or events

    oai_token-act-pair · gpt-3.5-turbo
    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
    etheless
    -0.84
     EVERY
    -0.70
     wink
    -0.70
     outright
    -0.69
     altogether
    -0.67
     Quote
    -0.66
    "]=>
    -0.65
    Again
    -0.65
     convol
    -0.65
     Reserved
    -0.65
    POSITIVE LOGITS
    venge
    0.90
     revenge
    0.81
     salvage
    0.76
     safer
    0.75
     humanitarian
    0.74
     repairs
    0.71
     evacuation
    0.70
     Adin
    0.70
    qqa
    0.70
     Ramadan
    0.69
    Activations Density 0.751%

    No Known Activations