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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. 10807
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    Explanations

    information related to political or social issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the impact of restrictions and limitations on individuals or groups

    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
     Lawn
    -0.68
    Pool
    -0.64
    Blocks
    -0.60
    gage
    -0.59
    REE
    -0.59
    dry
    -0.58
    phal
    -0.58
    oglu
    -0.57
    rek
    -0.56
    cars
    -0.55
    POSITIVE LOGITS
     thereof
    1.58
     thereto
    1.40
     accordingly
    1.28
     therein
    1.24
     thereafter
    1.05
     ensuing
    0.93
     consequ
    0.90
     alike
    0.89
     associated
    0.83
     subsequently
    0.83
    Activations Density 0.748%

    No Known Activations