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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. 2149
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    Explanations

    phrases related to giving or receiving instructions or information

    oai_token-act-pair · gpt-3.5-turbo

    references to giving or providing something, often with a focus on personal input or opinions

    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
    issy
    -0.73
    edIn
    -0.71
     Modes
    -0.66
    yrinth
    -0.64
    atos
    -0.63
    taboola
    -0.63
     Archdemon
    -0.59
     Unsure
    -0.59
     Presbyter
    -0.59
    ģ«
    -0.58
    POSITIVE LOGITS
     impression
    0.73
     amnesty
    0.71
     boost
    0.71
    icum
    0.68
     pause
    0.64
     Tibet
    0.64
     nod
    0.63
    elsen
    0.63
     gospel
    0.63
     chance
    0.63
    Activations Density 0.171%

    No Known Activations