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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. 2-RES-JB
    11. 3088
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    INDEX
    Explanations

    words related to assumptions or beliefs, particularly in academic or analytical contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various assumptions in a broad range of contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odes
    -0.74
    sung
    -0.74
    Interstitial
    -0.73
    paying
    -0.70
     Watching
    -0.65
    lighting
    -0.63
    cling
    -0.63
    HCR
    -0.62
    hern
    -0.62
    oho
    -0.62
    POSITIVE LOGITS
     assumptions
    1.21
     assumption
    1.15
     assumes
    0.84
     assum
    0.82
     assume
    0.76
    otle
    0.76
     premise
    0.73
     underpin
    0.73
     assumed
    0.72
     biases
    0.70
    Activations Density 0.013%

    No Known Activations