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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. 6906
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    Explanations

    phrases related to actions or activities being carried out by someone or something

    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
    "],"
    -0.67
     Cooldown
    -0.64
     outwe
    -0.62
     Advocate
    -0.62
     negoti
    -0.61
     withdrew
    -0.61
     outweigh
    -0.59
     postp
    -0.59
    },"
    -0.59
     jeopard
    -0.58
    POSITIVE LOGITS
    ĸļ
    0.98
    ampunk
    0.86
     readers
    0.82
    anmar
    0.81
    eaturing
    0.80
    arnaev
    0.79
     viewers
    0.78
     listeners
    0.77
    ersive
    0.76
    IVERS
    0.74
    Activations Density 0.319%

    No Known Activations