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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
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    Explanations

    references to the word "Delta"

    oai_token-act-pair · gpt-3.5-turbo

    references to Delta Airlines and related 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
    */(
    -1.09
    Interstitial
    -0.86
    ifact
    -0.78
    tyard
    -0.77
    tesy
    -0.77
    sburgh
    -0.76
    Scotland
    -0.74
    FORE
    -0.73
    inse
    -0.72
    AMI
    -0.72
    POSITIVE LOGITS
     Delta
    1.04
     Quad
    0.89
     delta
    0.87
    Wing
    0.83
     Kappa
    0.78
    Delta
    0.77
     Partnership
    0.75
     Phi
    0.72
    elta
    0.69
     Airlines
    0.69
    Activations Density 0.007%

    No Known Activations