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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. 6-RES-JB
    11. 17540
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    Explanations

    words related to successfully achieving something or demonstrating effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "prove" 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 @ 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
     newsletters
    -0.78
    letal
    -0.68
     contrace
    -0.65
    EStreamFrame
    -0.64
     Peninsula
    -0.63
    lished
    -0.61
     Sins
    -0.59
     column
    -0.58
    ropri
    -0.58
     sched
    -0.57
    POSITIVE LOGITS
    \\\\\\\\
    0.90
    reader
    0.84
    ãĤ¤ãĥĪ
    0.74
    ¯¯
    0.71
    uable
    0.71
    manship
    0.70
    stal
    0.69
    rays
    0.68
    ||||
    0.67
    ance
    0.67
    Activations Density 0.023%

    No Known Activations