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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. 17749
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    Explanations

    references to online activity or content

    oai_token-act-pair · gpt-3.5-turbo

    references to online activity or content

    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
    ioxide
    -0.79
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.76
    maid
    -0.72
    baugh
    -0.71
    rero
    -0.69
    ========
    -0.66
    geries
    -0.65
    hart
    -0.64
     Claw
    -0.64
    owitz
    -0.64
    POSITIVE LOGITS
    ibaba
    0.84
    culosis
    0.79
     networking
    0.78
     encyclopedia
    0.76
     persona
    0.74
     multiplayer
    0.72
     calcul
    0.72
     poker
    0.70
     entreprene
    0.70
     online
    0.70
    Activations Density 0.016%

    No Known Activations