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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. 11-RES-JB
    11. 6362
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    Explanations

    interactions involving communication, such as text messaging and sending messages between people

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to communication and liability in the context of messaging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogens
    -0.55
    igent
    -0.54
    imates
    -0.53
    ases
    -0.53
    omers
    -0.49
    adies
    -0.49
    awaru
    -0.49
    prises
    -0.48
    endum
    -0.47
     glim
    -0.47
    POSITIVE LOGITS
     whereas
    0.87
     WITHOUT
    0.84
     but
    0.84
     without
    0.83
     expecting
    0.81
    without
    0.77
     incorrectly
    0.75
     ignoring
    0.75
    instead
    0.73
     instead
    0.72
    Activations Density 1.008%

    No Known Activations