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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. 4-RES-JB
    11. 6412
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    Explanations

    phrases indicating a sense of burden or responsibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being burdened or negatively affected by circumstances

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

    No Comments

    Negative Logits
    raviolet
    -0.83
    Ħ¢
    -0.70
    ħĭ
    -0.64
     milestone
    -0.64
     CI
    -0.63
    ĻĤ
    -0.63
    raint
    -0.61
    -+-+
    -0.60
    tains
    -0.60
     isol
    -0.58
    POSITIVE LOGITS
    gling
    0.85
    ishly
    0.83
    ptin
    0.82
    puff
    0.81
    bury
    0.79
    frog
    0.78
    worth
    0.78
    own
    0.78
    ham
    0.77
    cock
    0.77
    Activations Density 0.033%

    No Known Activations