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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. 4293
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    Explanations

    sentences describing a constant characteristic or behavior of something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express consistency or permanence over time

    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
    heimer
    -0.79
    SG
    -0.79
    Da
    -0.70
    aspx
    -0.68
    lations
    -0.67
    LESS
    -0.67
    DIT
    -0.67
    åĤ
    -0.66
     Kinder
    -0.65
    VICE
    -0.65
    POSITIVE LOGITS
     strive
    0.77
     existed
    0.76
     dreamed
    0.76
     destro
    0.76
     blurred
    0.73
    theless
    0.72
     fascinated
    0.71
     satisfied
    0.71
     arisen
    0.71
     encount
    0.70
    Activations Density 0.026%

    No Known Activations