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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 13744
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    Explanations

    content related to distorted information or views

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distortion and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ept
    -0.78
    git
    -0.77
    dain
    -0.74
    minent
    -0.72
    hal
    -0.68
    tained
    -0.68
     Flu
    -0.67
    ilet
    -0.67
    ille
    -0.66
    tes
    -0.66
    POSITIVE LOGITS
     distort
    1.43
     distortion
    1.42
     distortions
    1.40
     distorted
    1.25
     misunder
    0.84
     havoc
    0.84
     inaccur
    0.80
     amplify
    0.76
     exagger
    0.74
     mislead
    0.72
    Activations Density 0.012%

    No Known Activations