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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. 8-RES-JB
    11. 23731
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    Explanations

    phrases related to changes over time, particularly those indicating decrease or loss

    oai_token-act-pair · gpt-3.5-turbo

    terms related to decline or reduction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    POL
    -0.72
    è¦ļéĨĴ
    -0.68
    ":[{"
    -0.65
    orable
    -0.64
    OH
    -0.64
    ilda
    -0.61
     formulated
    -0.60
    ordan
    -0.60
     Plymouth
    -0.59
    ocations
    -0.59
    POSITIVE LOGITS
     violet
    0.93
     retard
    0.82
    conservancy
    0.79
    owship
    0.78
     away
    0.78
    ldom
    0.74
     downwards
    0.74
     thinner
    0.73
     limbs
    0.72
     rusty
    0.70
    Activations Density 0.111%

    No Known Activations