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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. 4-RES-JB
    11. 1734
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    Explanations

    phrases where something is being described in a positive or negative light, often with a comparison or emphasis on the impact or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating failures or shortcomings, particularly in terms of learning and progress

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

    No Comments

    Negative Logits
    umn
    -0.76
    loo
    -0.71
    ssh
    -0.65
    egal
    -0.63
    repeat
    -0.63
     Leth
    -0.62
    reply
    -0.62
     Venom
    -0.61
     Challenger
    -0.59
    vill
    -0.59
    POSITIVE LOGITS
     nor
    0.68
    ãĥ¯
    0.65
     guiActiveUn
    0.64
    icians
    0.64
    ened
    0.60
    INA
    0.59
    ted
    0.59
    ally
    0.58
     STATES
    0.57
    ãĥ£
    0.57
    Activations Density 0.148%

    No Known Activations