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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. 890
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    INDEX
    Explanations

    phrases related to advocating for change or action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinion or beliefs

    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
    Enlarge
    -0.65
    DD
    -0.62
    ivist
    -0.61
    Success
    -0.60
    iciary
    -0.59
     Upper
    -0.59
    "}
    -0.59
    ugu
    -0.58
    Below
    -0.58
    HI
    -0.58
    POSITIVE LOGITS
    eday
    0.74
     moreover
    0.72
     nause
    0.72
     furthermore
    0.71
     also
    0.71
    oret
    0.66
    Ļ½
    0.66
    arnaev
    0.64
     even
    0.62
    !--
    0.61
    Activations Density 0.465%

    No Known Activations