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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. 11-RES-JB
    11. 5977
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    Explanations

    words related to negative or distressing events

    oai_token-act-pair · gpt-3.5-turbo

    words associated with negative feelings or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     «
    -0.57
    ãĥ¯ãĥ³
    -0.55
    ËĪ
    -0.52
    etheless
    -0.52
    ĪĴ
    -0.51
    ¿½
    -0.51
    bably
    -0.48
    xtap
    -0.48
    surprisingly
    -0.48
    uably
    -0.46
    POSITIVE LOGITS
    .")
    2.19
    ";
    2.08
    "—
    2.02
    ,"
    2.00
    !"
    1.99
    "?
    1.99
    ",
    1.99
    ":
    1.93
    ".
    1.93
    ."
    1.92
    Activations Density 1.053%

    No Known Activations