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    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. 4398
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    Explanations

    terms related to legal principles or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to legal principles and the rule of law

    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
    uliffe
    -0.81
    itud
    -0.75
    ESA
    -0.72
     contrace
    -0.70
    maxwell
    -0.68
    icago
    -0.68
    akespeare
    -0.66
    rill
    -0.66
    ortium
    -0.66
     ILCS
    -0.66
    POSITIVE LOGITS
     precedence
    0.72
    Tang
    0.69
    Dynamic
    0.68
     logic
    0.68
     Grac
    0.67
    glers
    0.67
    ©¶æ
    0.66
    clud
    0.66
    woods
    0.64
    Ware
    0.63
    Activations Density 0.144%

    No Known Activations