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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. 5650
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    INDEX
    Explanations

    terms related to assumptions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to assumptions and beliefs in various contexts

    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
    Interstitial
    -0.80
    oho
    -0.68
    waters
    -0.68
     Watching
    -0.63
    sung
    -0.62
    HCR
    -0.62
    odes
    -0.62
    skill
    -0.62
    hern
    -0.61
    arez
    -0.61
    POSITIVE LOGITS
     assumptions
    1.13
     assumption
    0.99
     underpin
    0.79
     assumes
    0.77
    flation
    0.72
     assum
    0.70
     assume
    0.68
     assumed
    0.68
     presupp
    0.66
    arial
    0.66
    Activations Density 0.010%

    No Known Activations