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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. 9963
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    INDEX
    Explanations

    phrases indicating instructions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    future actions and expectations

    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
    ocular
    -0.75
    jam
    -0.67
    DAQ
    -0.64
    Tok
    -0.62
    minecraft
    -0.61
     traged
    -0.59
    gerald
    -0.59
    Kal
    -0.59
    Angelo
    -0.59
     lobb
    -0.58
    POSITIVE LOGITS
     probably
    0.93
     undoubtedly
    0.93
     doubtless
    0.92
     need
    0.90
     notice
    0.88
     unavoid
    0.86
     discover
    0.83
     surely
    0.83
     find
    0.83
     have
    0.80
    Activations Density 0.090%

    No Known Activations