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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. 14490
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    Explanations

    words related to changes, shifts, increases, decreases, rises, and reductions in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant changes or shifts in trends or dynamics

    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
     dishes
    -0.85
     Cups
    -0.83
     flakes
    -0.76
     chats
    -0.75
     races
    -0.73
     beans
    -0.73
     branches
    -0.71
     exhibits
    -0.70
     houses
    -0.70
     staples
    -0.69
    POSITIVE LOGITS
    xual
    0.80
    IER
    0.78
    atform
    0.74
    lust
    0.72
    INAL
    0.72
    ÃĽ
    0.70
     stemming
    0.70
    osal
    0.69
    iator
    0.69
    DOWN
    0.68
    Activations Density 0.275%

    No Known Activations