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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. 2-RES-JB
    11. 7038
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    Explanations

    direct quotations by individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of people or entities making statements or claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estern
    -0.89
    xtap
    -0.84
    ¥ŀ
    -0.83
    hooting
    -0.81
    ntil
    -0.77
    otypes
    -0.77
    gotten
    -0.76
    respective
    -0.74
    pleting
    -0.74
    pes
    -0.74
    POSITIVE LOGITS
     goodbye
    1.24
     Goodbye
    0.83
     aloud
    0.82
     hello
    0.76
     farewell
    0.72
    INTON
    0.69
    tons
    0.67
    doms
    0.65
     something
    0.65
     loudly
    0.64
    Activations Density 0.042%

    No Known Activations