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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. 6-RES-JB
    6. 21113
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    Explanations

    phrases related to actions or tasks that have a significant impact or consequence

    oai_token-act-pair · gpt-3.5-turbo

    action-related verbs that involve interaction or change in state

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ère
    -0.77
    ega
    -0.67
    hap
    -0.66
    owship
    -0.64
    ijn
    -0.62
    efer
    -0.62
    ooting
    -0.62
    enthal
    -0.62
    aign
    -0.62
    IDA
    -0.60
    POSITIVE LOGITS
    tons
    0.81
     conventions
    0.76
    AME
    0.75
    redients
    0.74
     circles
    0.73
     ability
    0.70
    birds
    0.69
    bird
    0.68
     platforms
    0.66
     noises
    0.65
    Activations Density 0.464%

    No Known Activations