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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. 3-RES-JB
    11. 24349
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    Explanations

    words related to negative emotions and actions, particularly those involving despair, regret, deceit, and responsibility

    oai_token-act-pair · gpt-3.5-turbo

    themes related to emotional turmoil and human experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.73
    Downloadha
    -0.65
     Logged
    -0.59
    olulu
    -0.52
    anwhile
    -0.52
    zl
    -0.51
     Shed
    -0.51
    arnaev
    -0.51
    idav
    -0.51
     caption
    -0.50
    POSITIVE LOGITS
    oneliness
    0.51
     proportions
    0.50
     fame
    0.50
    rio
    0.49
     Ambro
    0.48
    ravity
    0.47
    votes
    0.47
     adolescence
    0.46
    party
    0.46
    ankind
    0.46
    Activations Density 2.240%

    No Known Activations