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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. 9077
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    INDEX
    Explanations

    phrases related to worry or concern

    oai_token-act-pair · gpt-3.5-turbo

    concerns related to worry or anxiety

    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
     Peaks
    -0.72
    gallery
    -0.71
    hesis
    -0.70
    ammy
    -0.66
    ------------------------
    -0.64
    OGR
    -0.63
    psons
    -0.63
    beit
    -0.63
    enez
    -0.63
    SPONSORED
    -0.63
    POSITIVE LOGITS
     respecting
    0.84
     whether
    0.80
     how
    0.77
     getting
    0.75
     preventing
    0.72
     exposing
    0.71
     protecting
    0.70
     blowing
    0.69
     impacting
    0.66
     buying
    0.66
    Activations Density 0.110%

    No Known Activations